{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/paper/libog-lifelong-learning-for-black-box","title":"LiBOG: Lifelong Learning for Black-Box Optimizer Generation","arxiv_id":"2505.13025","date":"2025-05-19","proceeding":null,"authors":["Jiyuan Pei","Yi Mei","Jialin Liu","Mengjie Zhang"],"abstract":"Meta-Black-Box Optimization (MetaBBO) garners attention due to its success in automating the configuration and generation of black-box optimizers, significantly reducing the human effort required for optimizer design and discovering optimizers with higher performance than classic human-designed optimizers. However, existing MetaBBO methods conduct one-off training under the assumption that a stationary problem distribution with extensive and representative training problem samples is pre-available. This assumption is often impractical in real-world scenarios, where diverse problems following shifting distribution continually arise. Consequently, there is a pressing need for methods that can continuously learn from new problems encountered on-the-fly and progressively enhance their capabilities. In this work, we explore a novel paradigm of lifelong learning in MetaBBO and introduce LiBOG, a novel approach designed to learn from sequentially encountered problems and generate high-performance optimizers for Black-Box Optimization (BBO). LiBOG consolidates knowledge both across tasks and within tasks to mitigate catastrophic forgetting. Extensive experiments demonstrate LiBOG's effectiveness in learning to generate high-performance optimizers in a lifelong learning manner, addressing catastrophic forgetting while maintaining plasticity to learn new tasks.","url_abs":"https://arxiv.org/abs/2505.13025v1","url_pdf":"https://arxiv.org/pdf/2505.13025v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"libog-lifelong-learning-for-black-box","repo_url":"https://github.com/peijy/libog","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"lifelong-learning","task_name":"Lifelong learning"}],"methods":[{"method_slug":"attention","method_name":"Attention"},{"method_slug":"softmax","method_name":"Softmax"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2505.13025","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.13025"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/peijy/libog","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran":7,"unverified":4},"by_repo_kind":{"official":{"samples":11,"ran":7,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"fa03ddd643b266fa","entry":"get_c","repo":"peijy/libog","repo_kind":"official","path":"model/utils.py","file_url":"https://github.com/peijy/libog/blob/HEAD/model/utils.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fa03ddd643b266fa"}},{"code_sha256_prefix":"4eec176e5155a959","entry":"get_choice","repo":"peijy/libog","repo_kind":"official","path":"model/utils.py","file_url":"https://github.com/peijy/libog/blob/HEAD/model/utils.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4eec176e5155a959"}},{"code_sha256_prefix":"12f99d2367c2e338","entry":"get_config","repo":"peijy/libog","repo_kind":"official","path":"dataset/generate_dataset.py","file_url":"https://github.com/peijy/libog/blob/HEAD/dataset/generate_dataset.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"12f99d2367c2e338"}},{"code_sha256_prefix":"392a4a144f4f496a","entry":"rotate_gen","repo":"peijy/libog","repo_kind":"official","path":"dataset/cec_test_func.py","file_url":"https://github.com/peijy/libog/blob/HEAD/dataset/cec_test_func.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"392a4a144f4f496a"}},{"code_sha256_prefix":"b47f380a7c1830e4","entry":"rotate_gen","repo":"peijy/libog","repo_kind":"official","path":"dataset/generate_dataset.py","file_url":"https://github.com/peijy/libog/blob/HEAD/dataset/generate_dataset.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b47f380a7c1830e4"}},{"code_sha256_prefix":"a98a5f0293d29fe7","entry":"rotatefunc","repo":"peijy/libog","repo_kind":"official","path":"dataset/cec_test_func.py","file_url":"https://github.com/peijy/libog/blob/HEAD/dataset/cec_test_func.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a98a5f0293d29fe7"}},{"code_sha256_prefix":"30e8c93ca132b54e","entry":"sr_func","repo":"peijy/libog","repo_kind":"official","path":"dataset/cec_test_func.py","file_url":"https://github.com/peijy/libog/blob/HEAD/dataset/cec_test_func.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"30e8c93ca132b54e"}},{"code_sha256_prefix":"c67ef6c7be791cb2","entry":"get_binary","repo":"peijy/libog","repo_kind":"official","path":"model/utils.py","file_url":"https://github.com/peijy/libog/blob/HEAD/model/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c67ef6c7be791cb2"}},{"code_sha256_prefix":"7418cf1e80d665bc","entry":"get_options","repo":"peijy/libog","repo_kind":"official","path":"options.py","file_url":"https://github.com/peijy/libog/blob/HEAD/options.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"7418cf1e80d665bc"}},{"code_sha256_prefix":"05d64f846af4ee1f","entry":"rollout_imitate","repo":"peijy/libog","repo_kind":"official","path":"execute/rollout.py","file_url":"https://github.com/peijy/libog/blob/HEAD/execute/rollout.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"05d64f846af4ee1f"}},{"code_sha256_prefix":"3a5bca03957b3154","entry":"sample_batch_task_cec21","repo":"peijy/libog","repo_kind":"official","path":"dataset/generate_dataset.py","file_url":"https://github.com/peijy/libog/blob/HEAD/dataset/generate_dataset.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"3a5bca03957b3154"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}