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检索条件"主题词=Algorithm Configuration"
64 条 记 录,以下是21-30 订阅
排序:
A Novel Multi-objective Decomposition Formulation for Per-Instance configuration  11th
A Novel Multi-objective Decomposition Formulation for Per-In...
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11th Brazilian Conference on Intelligent Systems (BRACIS)
作者: Pavelski, Lucas Marcondes Delgado, Myriam Regattieri Kessaci, Marie-Eleonore Fed Univ Technol Parana UTFPR Grad Program Elect & Comp Engn CPGEI Curitiba Parana Brazil Univ Lille CRIStAL CNRS Cent LilleUMR 9189 F-59000 Lille France
Per-instance algorithm configuration (PIAC) is an important task in which, given a base problem instance, a recommendation model indicates the best configuration to solve it. Whereas typical Automated algorithm Config... 详细信息
来源: 评论
Configuring Mixed-Integer Programming Solvers for Large-Scale Instances
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Operations Research Forum 2024年 第2期5卷 48页
作者: Kemminer, Robin Lange, Jannick Kempkes, Jens Peter Tierney, Kevin Weiß, Dimitri OPTANO GmbH Technologiepark 18 NRW Paderborn 33100 Germany Decision and Operation Technologies Bielefeld University Universitätsstraße 25 NRW Bielefeld 33615 Germany
algorithm configuration techniques automatically search for parameters of solvers and algorithms that provide minimal runtime or maximal solution quality on specified instance sets. Mixed-integer programming (MIP) sol... 详细信息
来源: 评论
Analyzing the Impact of Undersampling on the Benchmarking and configuration of Evolutionary algorithms
Analyzing the Impact of Undersampling on the Benchmarking an...
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Vermetten, Diederick Wang, Hao Lopez-Ibanez, Manuel Doerr, Carola Back, Thomas Leiden Inst Adv Comp Sci Leiden Netherlands Univ Malaga Sch Comp Sci & Engn Malaga Spain Sorbonne Univ CNRS LIP6 Paris France
The stochastic nature of iterative optimization heuristics leads to inherently noisy performance measurements. Since these measurements are often gathered once and then used repeatedly, the number of collected samples... 详细信息
来源: 评论
Sparkle: Toward Accessible Meta-algorithmics for Improving the State of the Art in Solving Challenging Problems
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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 2022年 第6期26卷 1351-1364页
作者: Van der Blom, Koen Hoos, Holger H. H. Luo, Chuan Rook, Jeroen G. G. Leiden Univ Fac Sci NL-2311 EZ Leiden Netherlands Sorbonne Univ LIP6 CNRS F-75005 Paris France Rhein Westfal TH Aachen Dept Comp Sci D-52062 Aachen Germany Univ British Columbia Dept Comp Sci Vancouver BC V6T 1Z4 Canada Beihang Univ Sch Software Beijing 100190 Peoples R China Univ Twente Data Management & Biometr DMB NL-7522 NB Enschede Netherlands
Many fields of computational science advance through improvements in the algorithms used for solving key problems. These advancements are often facilitated by benchmarks and competitions that enable performance compar... 详细信息
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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
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JOURNAL OF MACHINE LEARNING RESEARCH 2022年 第1期23卷 1-9页
作者: Lindauer, Marius Eggensperger, Katharina Feurer, Matthias Biedenkapp, Andre Deng, Difan Benjamins, Carolin Ruhkopf, Tim Sass, Rene Hutter, Frank Leibniz Univ Hannover Hannover Germany Univ Freiburg Freiburg Germany Bosch Ctr Artificial Intelligence Renningen Germany
algorithm parameters, in particular hyperparameters of machine learning algorithms, can substantially impact their performance. To support users in determining well-performing hyperparameter configurations for their a... 详细信息
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Modular Differential Evolution  23
Modular Differential Evolution
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Vermetten, Diederick Caraffini, Fabio Kononova, Anna V. Back, Thomas Leiden Inst Adv Comp Sci Leiden Netherlands Swansea Univ Swansea Wales
New contributions in the field of iterative optimisation heuristics are often made in an iterative manner. Novel algorithmic ideas are not proposed in isolation, but usually as extensions of a preexisting algorithm. A... 详细信息
来源: 评论
algorithm Selection across algorithm Configurators A Case Study on Multi-objective Optimization
Algorithm Selection across Algorithm Configurators A Case St...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Misir, Mustafa Duke Kunshan Univ Div Nat & Appl Sci Kunshan Peoples R China
The present work utilizes algorithm Selection for automatically specifying the parameter tuning method for a given tuning task. The idea of parameter tuning is motivated by the premature algorithm designs and their su... 详细信息
来源: 评论
Non-elitist Selection Can Improve the Performance of Irace  17th
Non-elitist Selection Can Improve the Performance of Irace
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17th International Conference on Parallel Problem Solving from Nature (PPSN)
作者: Ye, Furong Vermetten, Diederick Doerr, Carola Back, Thomas Leiden Univ LIACS Leiden Netherlands Sorbonne Univ CNRS LIP6 Paris France
Modern optimization strategies such as evolutionary algorithms, ant colony algorithms, Bayesian optimization techniques, etc. come with several parameters that steer their behavior during the optimization process. To ... 详细信息
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Reinforcement learning based adaptive metaheuristics  22
Reinforcement learning based adaptive metaheuristics
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Tessari, Michele Iacca, Giovanni Univ Trento Trento Italy
Parameter adaptation, that is the capability to automatically adjust an algorithm's hyperparameters depending on the problem being faced, is one of the main trends in evolutionary computation applied to numerical ... 详细信息
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Few-Shots Parallel algorithm Portfolio Construction via Co-Evolution
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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 2021年 第3期25卷 595-607页
作者: Tang, Ke Liu, Shengcai Yang, Peng Yao, Xin Southern Univ Sci & Technol Dept Comp Sci & Engn Guangdong Key Lab Brain Inspired Intelligent Comp Shenzhen 518055 Peoples R China Southern Univ Sci & Technol Res Inst Trustworthy Autonomous Syst Shenzhen 518055 Peoples R China
Generalization, i.e., the ability of solving problem instances that are not available during the system design and development phase, is a critical goal for intelligent systems. A typical way to achieve good generaliz... 详细信息
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