{"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/global-optimization/papers/7","list_of":"/task/global-optimization","task":"global-optimization","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":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":7,"pages_in_order":7,"rows_per_page":100,"rows":[601,658],"of":658,"counts":{"archive_papers_tagged":658,"with_a_code_link":158,"where_syntology_ran_a_sample":21,"not_listed_spam_title":0,"listed":658,"listed_where_code_ran":21,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":18,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":18,"listed_every_run_a_failure_of_syntologys_instrument":3,"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/global-optimization","prev":"/task/global-optimization/papers/6","next":null,"papers":[{"url":null,"slug":"pure-and-hybrid-evolutionary-computing-in","title":"Pure and Hybrid Evolutionary Computing in Global Optimization of Chemical Structures: from Atoms and Molecules to Clusters and Crystals","date":"2015-08-31","arxiv_id":"1509.00028","repositories_listed":0,"syntology":null},{"url":null,"slug":"unbounded-bayesian-optimization-via","title":"Unbounded Bayesian Optimization via Regularization","date":"2015-08-14","arxiv_id":"1508.03666","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolutionary-multimodal-optimization-a-short","title":"Evolutionary Multimodal Optimization: A Short Survey","date":"2015-08-03","arxiv_id":"1508.00457","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-by-transitive-propagation","title":"Clustering by transitive propagation","date":"2015-06-09","arxiv_id":"1506.03072","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-nonstationarity-for-efficient-bayesian","title":"Local Nonstationarity for Efficient Bayesian Optimization","date":"2015-06-05","arxiv_id":"1506.02080","repositories_listed":0,"syntology":null},{"url":null,"slug":"bold-binary-online-learned-descriptor-for","title":"BOLD - Binary Online Learned Descriptor For Efficient Image Matching","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-and-drift-free-surface","title":"Large-Scale and Drift-Free Surface Reconstruction Using Online Subvolume Registration","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-reconstruction-of-indoor-scenes","title":"Robust Reconstruction of Indoor Scenes","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-data-clustering-approach-using-k-means","title":"Hybrid data clustering approach using K-Means and Flower Pollination Algorithm","date":"2015-05-13","arxiv_id":"1505.03236","repositories_listed":0,"syntology":null},{"url":null,"slug":"apro-all-pairs-ranking-optimization-for-mt","title":"APRO: All-Pairs Ranking Optimization for MT Tuning","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-external-resources-and-joint-learning","title":"Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-convergence-rate-in-feed-forward","title":"Optimal Convergence Rate in Feed Forward Neural Networks using HJB Equation","date":"2015-04-27","arxiv_id":"1504.07278","repositories_listed":0,"syntology":null},{"url":null,"slug":"viewpoint-distortion-compensation-in","title":"Viewpoint distortion compensation in practical surveillance systems","date":"2015-04-21","arxiv_id":"1504.05298","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-knowledge-gradient-policy-using-a-sparse","title":"The Knowledge Gradient Policy Using A Sparse Additive Belief Model","date":"2015-03-18","arxiv_id":"1503.05567","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analysis-of-the-heston-stochastic","title":"An Analysis of the Heston Stochastic Volatility Model: Implementation and Calibration using Matlab","date":"2015-03-17","arxiv_id":"1502.02963","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-nlopt-and-state-of-art","title":"Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACO$_\\mathbb{R}$","date":"2015-03-11","arxiv_id":"1503.03175","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-optimization-of-text-representations","title":"Bayesian Optimization of Text Representations","date":"2015-03-02","arxiv_id":"1503.00693","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-social-spider-algorithm-for-global","title":"A Social Spider Algorithm for Global Optimization","date":"2015-02-09","arxiv_id":"1502.02407","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-inter-molecular-adaptive-collision-scheme","title":"An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization","date":"2015-02-01","arxiv_id":"1502.00197","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolutionary-artificial-neural-network-based","title":"Evolutionary Artificial Neural Network Based on Chemical Reaction Optimization","date":"2015-02-01","arxiv_id":"1502.00193","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-impact-of-topological-properties-of","title":"On the impact of topological properties of smart grids in power losses optimization problems","date":"2015-01-19","arxiv_id":"1501.04659","repositories_listed":0,"syntology":null},{"url":null,"slug":"biclustering-using-message-passing","title":"Biclustering Using Message Passing","date":"2014-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-link-prediction-in-dynamic-networks","title":"Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization","date":"2014-11-13","arxiv_id":"1411.3675","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-general-stochastic-algorithmic-framework","title":"A General Stochastic Algorithmic Framework for Minimizing Expensive Black Box Objective Functions Based on Surrogate Models and Sensitivity Analysis","date":"2014-10-23","arxiv_id":"1410.6271","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-fast-quartet-tree-heuristic-for","title":"A Fast Quartet Tree Heuristic for Hierarchical Clustering","date":"2014-09-12","arxiv_id":"1409.4276","repositories_listed":0,"syntology":null},{"url":null,"slug":"cuckoo-search-recent-advances-and","title":"Cuckoo Search: Recent Advances and Applications","date":"2014-08-22","arxiv_id":"1408.5316","repositories_listed":0,"syntology":null},{"url":null,"slug":"bandit-algorithms-for-tree-search","title":"Bandit Algorithms for Tree Search","date":"2014-08-09","arxiv_id":"1408.2028","repositories_listed":0,"syntology":null},{"url":null,"slug":"randomized-memetic-artificial-bee-colony","title":"Randomized Memetic Artificial Bee Colony Algorithm","date":"2014-08-01","arxiv_id":"1408.0102","repositories_listed":0,"syntology":null},{"url":null,"slug":"entropic-one-class-classifiers","title":"Entropic one-class classifiers","date":"2014-07-28","arxiv_id":"1407.7556","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-optimization-using-levy-flights","title":"Global optimization using Lévy flights","date":"2014-07-22","arxiv_id":"1407.5739","repositories_listed":0,"syntology":null},{"url":null,"slug":"mobile-camera-array-calibration-for-light","title":"Mobile Camera Array Calibration for Light Field Acquisition","date":"2014-07-16","arxiv_id":"1407.4206","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-entropy-search-portfolio-for-bayesian","title":"An Entropy Search Portfolio for Bayesian Optimization","date":"2014-06-18","arxiv_id":"1406.4625","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-high-resolution-stereo-matching","title":"Efficient High-Resolution Stereo Matching using Local Plane Sweeps","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"non-parametric-bayesian-constrained-local","title":"Non-Parametric Bayesian Constrained Local Models","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-dictionary-learning-for-edit","title":"Sparse Dictionary Learning for Edit Propagation of High-Resolution Images","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"opposition-based-electromagnetismlike-for","title":"Opposition Based ElectromagnetismLike for Global Optimization","date":"2014-05-20","arxiv_id":"1405.5172","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-semantic-network-based-evolutionary","title":"A semantic network-based evolutionary algorithm for computational creativity","date":"2014-04-30","arxiv_id":"1404.7765","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-local-learning-via-semidefinite","title":"Online Local Learning via Semidefinite Programming","date":"2014-03-20","arxiv_id":"1403.5287","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-multi-scale-optimistic-optimization","title":"Bayesian Multi-Scale Optimistic Optimization","date":"2014-02-27","arxiv_id":"1402.7005","repositories_listed":0,"syntology":null},{"url":null,"slug":"radial-basis-function-process-neural-network","title":"Radial basis function process neural network training based on generalized frechet distance and GA-SA hybrid strategy","date":"2014-01-09","arxiv_id":"1405.7349","repositories_listed":0,"syntology":null},{"url":null,"slug":"time-series-modeling-by-a-regression-approach","title":"Time series modeling by a regression approach based on a latent process","date":"2013-12-25","arxiv_id":"1312.6969","repositories_listed":0,"syntology":null},{"url":null,"slug":"caco-competitive-ant-colony-optimization-a","title":"CACO : Competitive Ant Colony Optimization, A Nature-Inspired Metaheuristic For Large-Scale Global Optimization","date":"2013-12-14","arxiv_id":"1312.4044","repositories_listed":0,"syntology":null},{"url":null,"slug":"top-down-regularization-of-deep-belief","title":"Top-Down Regularization of Deep Belief Networks","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussian-process-optimization-with-mutual","title":"Gaussian Process Optimization with Mutual Information","date":"2013-11-19","arxiv_id":"1311.4825","repositories_listed":0,"syntology":null},{"url":null,"slug":"nonconvex-global-optimization-for-latent","title":"Nonconvex Global Optimization for Latent-Variable Models","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-approach-for-finding-the-global-optimal","title":"A New Approach for Finding the Global Optimal Point Using Subdividing Labeling Method (SLM)","date":"2013-07-22","arxiv_id":"1307.5839","repositories_listed":0,"syntology":null},{"url":null,"slug":"new-optimization-approach-using-clustering","title":"New Optimization Approach Using Clustering-Based Parallel Genetic Algorithm","date":"2013-07-22","arxiv_id":"1307.5667","repositories_listed":0,"syntology":null},{"url":null,"slug":"sub-diving-labeling-method-for-optimization","title":"Sub- Diving Labeling Method for Optimization Problem by Genetic Algorithm","date":"2013-07-22","arxiv_id":"1307.5840","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-optimization-approach-based-on","title":"A New Optimization Approach Based on Rotational Mutation and Crossover Operator","date":"2013-07-21","arxiv_id":"1307.5534","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-3d-endfiring-trus-prostate","title":"Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"penguins-search-optimization-algorithm-pesoa","title":"Penguins Search Optimization Algorithm (PeSOA","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"greta-a-novel-global-and-recursive-tracking","title":"GReTA - a novel Global and Recursive Tracking Algorithm in three dimensions","date":"2013-05-07","arxiv_id":"1305.1495","repositories_listed":0,"syntology":null},{"url":null,"slug":"group-theory-group-actions-evolutionary","title":"Group theory, group actions, evolutionary algorithms, and global optimization","date":"2012-12-27","arxiv_id":"1301.0254","repositories_listed":0,"syntology":null},{"url":null,"slug":"mean-field-learning-a-survey","title":"Mean-Field Learning: a Survey","date":"2012-10-17","arxiv_id":"1210.4657","repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-learning-for-optimization","title":"Structure Learning for Optimization","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-estimation-of-distribution-algorithm-with","title":"An estimation of distribution algorithm with adaptive Gibbs sampling for unconstrained global optimization","date":"2011-07-11","arxiv_id":"1107.2104","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-exponential-family-principal","title":"Supervised Exponential Family Principal Component Analysis via Convex Optimization","date":"2008-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"localization-in-wireless-sensor-networks","title":"Localization in Wireless Sensor Networks using Particle Swarm Optimization","date":"2008-02-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"1be2357aaaa534a194d97c648d2b70c75fbfdf86f36339a7fee194f11c1282bd","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}