{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/evolutionary-algorithms/papers/ran/1","list_of":"/task/evolutionary-algorithms","task":"Evolutionary Algorithms","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,36],"of":36,"counts":{"archive_papers_tagged":1107,"with_a_code_link":241,"where_syntology_ran_a_sample":36,"not_listed_spam_title":0,"listed":1107,"listed_where_code_ran":36,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":32,"every_run_a_failure_of_syntologys_instrument":4,"listed_with_a_run_with_no_instrument_failure":32,"listed_every_run_a_failure_of_syntologys_instrument":4,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/evolutionary-algorithms/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/graph-supported-dynamic-algorithm","slug":"graph-supported-dynamic-algorithm","title":"Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization","date":"2025-05-22","arxiv_id":"2505.16471","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/graph-supported-dynamic-algorithm#ran","syntology_url":"https://syntology.ai/paper/2505.16471","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.16471"}},"official":{"repos":["robbertreijnen/gs-modac"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/evolutionary-thoughts-integration-of-large","slug":"evolutionary-thoughts-integration-of-large","title":"Evolutionary thoughts: integration of large language models and evolutionary algorithms","date":"2025-05-09","arxiv_id":"2505.05756","repositories_listed":3,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/evolutionary-thoughts-integration-of-large#ran","syntology_url":"https://syntology.ai/paper/2505.05756","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.05756"}},"official":{"repos":["ajjimeno/fast-evolutionary-evaluation","ajjimeno/list-data","ajjimeno/llm-gp"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/dominated-novelty-search-rethinking-local","slug":"dominated-novelty-search-rethinking-local","title":"Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity","date":"2025-02-01","arxiv_id":"2502.00593","repositories_listed":1,"syntology":{"n":11,"n_ran":8,"n_constructed":0,"n_ran_checked":7,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/dominated-novelty-search-rethinking-local#ran","syntology_url":"https://syntology.ai/paper/2502.00593","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.00593"}},"official":{"repos":["adaptive-intelligent-robotics/dominated-novelty-search"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/improving-genetic-programming-for-symbolic","slug":"improving-genetic-programming-for-symbolic","title":"Improving Genetic Programming for Symbolic Regression with Equality Graphs","date":"2025-01-29","arxiv_id":"2501.17848","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/improving-genetic-programming-for-symbolic#ran","syntology_url":"https://syntology.ai/paper/2501.17848","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.17848"}},"official":{"repos":["folivetti/eggp_paper_GECCO","folivetti/srtree"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/evos-efficient-implicit-neural-training-via","slug":"evos-efficient-implicit-neural-training-via","title":"EVOS: Efficient Implicit Neural Training via EVOlutionary Selector","date":"2024-12-13","arxiv_id":"2412.10153","repositories_listed":2,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/evos-efficient-implicit-neural-training-via#ran","syntology_url":"https://syntology.ai/paper/2412.10153","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.10153"}},"official":{"repos":["zwx-open/evos-inr"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/diffusion-models-are-evolutionary-algorithms","slug":"diffusion-models-are-evolutionary-algorithms","title":"Diffusion Models are Evolutionary Algorithms","date":"2024-10-03","arxiv_id":"2410.02543","repositories_listed":1,"syntology":{"n":11,"n_ran":10,"n_constructed":4,"n_ran_checked":7,"n_instrument":3,"n_unverified":1,"n_honours":2,"n_violates":1,"n_no_contract":4,"n_pointer_only":11,"phrase":"10 ran (of which 4 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 1 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/diffusion-models-are-evolutionary-algorithms#ran","syntology_url":"https://syntology.ai/paper/2410.02543","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.02543"}},"official":{"repos":["Zhangyanbo/diffusion-evolution"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":4,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/syntax-guided-procedural-synthesis-of","slug":"syntax-guided-procedural-synthesis-of","title":"Procedural Synthesis of Synthesizable Molecules","date":"2024-08-24","arxiv_id":"2409.05873","repositories_listed":1,"syntology":{"n":9,"n_ran":6,"n_constructed":1,"n_ran_checked":6,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 1 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/syntax-guided-procedural-synthesis-of#ran","syntology_url":"https://syntology.ai/paper/2409.05873","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2409.05873"}},"official":{"repos":["shiningsunnyday/synthesisnet"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":1,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/efficient-evolutionary-search-over-chemical","slug":"efficient-evolutionary-search-over-chemical","title":"Efficient Evolutionary Search Over Chemical Space with Large Language Models","date":"2024-06-23","arxiv_id":"2406.16976","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/efficient-evolutionary-search-over-chemical#ran","syntology_url":"https://syntology.ai/paper/2406.16976","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.16976"}},"official":{"repos":["zoom-wang112358/molleo"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/evoagent-towards-automatic-multi-agent","slug":"evoagent-towards-automatic-multi-agent","title":"EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms","date":"2024-06-20","arxiv_id":"2406.14228","repositories_listed":1,"syntology":{"n":12,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":12,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/evoagent-towards-automatic-multi-agent#ran","syntology_url":"https://syntology.ai/paper/2406.14228","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.14228"}},"official":{"repos":["siyuyuan/evoagent"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/knowledge-fusion-by-evolving-weights-of","slug":"knowledge-fusion-by-evolving-weights-of","title":"Knowledge Fusion By Evolving Weights of Language Models","date":"2024-06-18","arxiv_id":"2406.12208","repositories_listed":1,"syntology":{"n":10,"n_ran":9,"n_constructed":0,"n_ran_checked":4,"n_instrument":5,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 5 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/knowledge-fusion-by-evolving-weights-of#ran","syntology_url":"https://syntology.ai/paper/2406.12208","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.12208"}},"official":{"repos":["duguodong7/model-evolution"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/glhf-general-learned-evolutionary-algorithm","slug":"glhf-general-learned-evolutionary-algorithm","title":"Pretrained Optimization Model for Zero-Shot Black Box Optimization","date":"2024-05-06","arxiv_id":"2405.03728","repositories_listed":1,"syntology":{"n":14,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":7,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":14,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/glhf-general-learned-evolutionary-algorithm#ran","syntology_url":"https://syntology.ai/paper/2405.03728","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.03728"}},"official":{"repos":["ninja-wm/pom"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":7,"ran_from_kinds":["official"]}}},{"url":"/paper/evolutionary-optimization-of-model-merging","slug":"evolutionary-optimization-of-model-merging","title":"Evolutionary Optimization of Model Merging Recipes","date":"2024-03-19","arxiv_id":"2403.13187","repositories_listed":1,"syntology":{"n":12,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":9,"n_pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 1 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/evolutionary-optimization-of-model-merging#ran","syntology_url":"https://syntology.ai/paper/2403.13187","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.13187"}},"official":{"repos":["sakanaai/evolutionary-model-merge"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/llm-guided-evolution-the-automation-of-models","slug":"llm-guided-evolution-the-automation-of-models","title":"LLM Guided Evolution - The Automation of Models Advancing Models","date":"2024-03-18","arxiv_id":"2403.11446","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/llm-guided-evolution-the-automation-of-models#ran","syntology_url":"https://syntology.ai/paper/2403.11446","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.11446"}},"official":{"repos":["clint-kristopher-morris/llm-guided-evolution"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/reevo-large-language-models-as-hyper","slug":"reevo-large-language-models-as-hyper","title":"ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution","date":"2024-02-02","arxiv_id":"2402.01145","repositories_listed":3,"syntology":{"n":10,"n_ran":5,"n_constructed":1,"n_ran_checked":2,"n_instrument":3,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"5 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/reevo-large-language-models-as-hyper#ran","syntology_url":"https://syntology.ai/paper/2402.01145","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.01145"}},"official":{"repos":["ai4co/llm-as-hh"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/synergizing-quality-diversity-with-descriptor","slug":"synergizing-quality-diversity-with-descriptor","title":"Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning","date":"2023-12-10","arxiv_id":"2401.08632","repositories_listed":2,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/synergizing-quality-diversity-with-descriptor#ran","syntology_url":"https://syntology.ai/paper/2401.08632","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.08632"}},"official":{"repos":["adaptive-intelligent-robotics/DCRL-MAP-Elites"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/ever-evolving-evaluator-ev3-towards-flexible","slug":"ever-evolving-evaluator-ev3-towards-flexible","title":"Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation","date":"2023-10-29","arxiv_id":"2310.18893","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/ever-evolving-evaluator-ev3-towards-flexible#ran","syntology_url":"https://syntology.ai/paper/2310.18893","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.18893"}},"official":{"repos":["google-research/google-research"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/large-language-models-as-evolutionary","slug":"large-language-models-as-evolutionary","title":"Large Language Models as Evolutionary Optimizers","date":"2023-10-29","arxiv_id":"2310.19046","repositories_listed":1,"syntology":{"n":9,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":5,"n_pointer_only":9,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/large-language-models-as-evolutionary#ran","syntology_url":"https://syntology.ai/paper/2310.19046","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.19046"}},"official":{"repos":["cschen1205/lmea"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/connecting-large-language-models-with","slug":"connecting-large-language-models-with","title":"EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers","date":"2023-09-15","arxiv_id":"2309.08532","repositories_listed":2,"syntology":{"n":13,"n_ran":11,"n_constructed":0,"n_ran_checked":3,"n_instrument":8,"n_unverified":2,"n_honours":2,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 8 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/connecting-large-language-models-with#ran","syntology_url":"https://syntology.ai/paper/2309.08532","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.08532"}},"official":null}},{"url":"/paper/erl-re-2-efficient-evolutionary-reinforcement","slug":"erl-re-2-efficient-evolutionary-reinforcement","title":"ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation","date":"2022-10-26","arxiv_id":"2210.17375","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/erl-re-2-efficient-evolutionary-reinforcement#ran","syntology_url":"https://syntology.ai/paper/2210.17375","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.17375"}},"official":{"repos":["yeshenpy/erl-re2"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/shortest-edit-path-crossover-a-theory-driven","slug":"shortest-edit-path-crossover-a-theory-driven","title":"Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search","date":"2022-10-25","arxiv_id":"2210.14016","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/shortest-edit-path-crossover-a-theory-driven#ran","syntology_url":"https://syntology.ai/paper/2210.14016","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.14016"}},"official":{"repos":["cognizant-ai-labs/sepx-paper"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["found_in_text"]}}},{"url":"/paper/multi-objective-optimization-via-equivariant","slug":"multi-objective-optimization-via-equivariant","title":"Multi-objective optimization via equivariant deep hypervolume approximation","date":"2022-10-05","arxiv_id":"2210.02177","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":2,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"3 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/multi-objective-optimization-via-equivariant#ran","syntology_url":"https://syntology.ai/paper/2210.02177","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.02177"}},"official":{"repos":["jimbo994/deephv-iclr"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/high-performance-evolutionary-algorithms-for","slug":"high-performance-evolutionary-algorithms-for","title":"High-performance Evolutionary Algorithms for Online Neuron Control","date":"2022-04-14","arxiv_id":"2204.06765","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":1,"n_instrument":3,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/high-performance-evolutionary-algorithms-for#ran","syntology_url":"https://syntology.ai/paper/2204.06765","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.06765"}},"official":{"repos":["animadversio/actmax-optimizer-dev"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/theory-inspired-parameter-control-benchmarks","slug":"theory-inspired-parameter-control-benchmarks","title":"Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration","date":"2022-02-07","arxiv_id":"2202.03259","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/theory-inspired-parameter-control-benchmarks#ran","syntology_url":"https://syntology.ai/paper/2202.03259","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2202.03259"}},"official":{"repos":["caroladoerr/leadingonedac"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/janus-parallel-tempered-genetic-algorithm","slug":"janus-parallel-tempered-genetic-algorithm","title":"JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design","date":"2021-06-07","arxiv_id":"2106.04011","repositories_listed":1,"syntology":{"n":4,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/janus-parallel-tempered-genetic-algorithm#ran","syntology_url":"https://syntology.ai/paper/2106.04011","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.04011"}},"official":{"repos":["aspuru-guzik-group/janus"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/enhancing-object-detection-for-autonomous","slug":"enhancing-object-detection-for-autonomous","title":"Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance","date":"2021-04-08","arxiv_id":"2104.03888","repositories_listed":1,"syntology":{"n":7,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/enhancing-object-detection-for-autonomous#ran","syntology_url":"https://syntology.ai/paper/2104.03888","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.03888"}},"official":{"repos":["carranza96/waymo-detection-optimization"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/black-box-ripper-copying-black-box-models","slug":"black-box-ripper-copying-black-box-models","title":"Black-Box Ripper: Copying black-box models using generative evolutionary algorithms","date":"2020-10-21","arxiv_id":"2010.11158","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/black-box-ripper-copying-black-box-models#ran","syntology_url":"https://syntology.ai/paper/2010.11158","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.11158"}},"official":{"repos":["antoniobarbalau/black-box-ripper"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/neural-architecture-search-in-graph-neural","slug":"neural-architecture-search-in-graph-neural","title":"Neural Architecture Search in Graph Neural Networks","date":"2020-07-31","arxiv_id":"2008.00077","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/neural-architecture-search-in-graph-neural#ran","syntology_url":"https://syntology.ai/paper/2008.00077","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2008.00077"}},"official":{"repos":["mhnnunes/nas_gnn"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/local-search-is-a-remarkably-strong-baseline","slug":"local-search-is-a-remarkably-strong-baseline","title":"Local Search is a Remarkably Strong Baseline for Neural Architecture Search","date":"2020-04-20","arxiv_id":"2004.08996","repositories_listed":2,"syntology":{"n":8,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/local-search-is-a-remarkably-strong-baseline#ran","syntology_url":"https://syntology.ai/paper/2004.08996","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.08996"}},"official":{"repos":["ArkadiyD/MacroNASBenchmark","tdenottelander/MacroNAS"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/npenas-neural-predictor-guided-evolution-for","slug":"npenas-neural-predictor-guided-evolution-for","title":"NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search","date":"2020-03-28","arxiv_id":"2003.12857","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/npenas-neural-predictor-guided-evolution-for#ran","syntology_url":"https://syntology.ai/paper/2003.12857","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2003.12857"}},"official":{"repos":["auroua/NPENASv1"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/differential-evolution-with-reversible-linear","slug":"differential-evolution-with-reversible-linear","title":"Differential Evolution with Reversible Linear Transformations","date":"2020-02-07","arxiv_id":"2002.02869","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/differential-evolution-with-reversible-linear#ran","syntology_url":"https://syntology.ai/paper/2002.02869","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2002.02869"}},"official":{"repos":["jmtomczak/reversible-de"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/neuzz-efficient-fuzzing-with-neural-program","slug":"neuzz-efficient-fuzzing-with-neural-program","title":"NEUZZ: Efficient Fuzzing with Neural Program Smoothing","date":"2018-07-15","arxiv_id":"1807.05620","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/neuzz-efficient-fuzzing-with-neural-program#ran","syntology_url":"https://syntology.ai/paper/1807.05620","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.05620"}},"official":{"repos":["dongdongshe/neuzz"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/genattack-practical-black-box-attacks-with","slug":"genattack-practical-black-box-attacks-with","title":"GenAttack: Practical Black-box Attacks with Gradient-Free Optimization","date":"2018-05-28","arxiv_id":"1805.11090","repositories_listed":3,"syntology":{"n":12,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":7,"n_honours":2,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/genattack-practical-black-box-attacks-with#ran","syntology_url":"https://syntology.ai/paper/1805.11090","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.11090"}},"official":{"repos":["nesl/adversarial_genattack"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/evolution-guided-policy-gradient-in","slug":"evolution-guided-policy-gradient-in","title":"Evolution-Guided Policy Gradient in Reinforcement Learning","date":"2018-05-21","arxiv_id":"1805.07917","repositories_listed":6,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/evolution-guided-policy-gradient-in#ran","syntology_url":"https://syntology.ai/paper/1805.07917","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.07917"}},"official":{"repos":["ShawK91/erl_paper_nips18"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/deep-neuroevolution-genetic-algorithms-are-a","slug":"deep-neuroevolution-genetic-algorithms-are-a","title":"Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning","date":"2017-12-18","arxiv_id":"1712.06567","repositories_listed":12,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":1,"n_honours":1,"n_violates":1,"n_no_contract":0,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/deep-neuroevolution-genetic-algorithms-are-a#ran","syntology_url":"https://syntology.ai/paper/1712.06567","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1712.06567"}},"official":null}},{"url":"/paper/progressive-neural-architecture-search","slug":"progressive-neural-architecture-search","title":"Progressive Neural Architecture Search","date":"2017-12-02","arxiv_id":"1712.00559","repositories_listed":18,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":3,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/progressive-neural-architecture-search#ran","syntology_url":"https://syntology.ai/paper/1712.00559","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1712.00559"}},"official":{"repos":["chenxi116/PNASNet.TF","tensorflow/models","chenxi116/PNASNet.pytorch"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/large-scale-evolution-of-image-classifiers","slug":"large-scale-evolution-of-image-classifiers","title":"Large-Scale Evolution of Image Classifiers","date":"2017-03-03","arxiv_id":"1703.01041","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/large-scale-evolution-of-image-classifiers#ran","syntology_url":"https://syntology.ai/paper/1703.01041","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1703.01041"}},"official":null}}],"record_sha256":"90fc20d2ab0164c6530083a7cfdd4a17d674124026c408daaaae8c8db61b48cc","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}