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检索条件"主题词=evolutionary algorithms"
12066 条 记 录,以下是701-710 订阅
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Faster Guarantees of evolutionary algorithms for Maximization of Monotone Submodular Functions  30
Faster Guarantees of Evolutionary Algorithms for Maximizatio...
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30th International Joint Conference on Artificial Intelligence (IJCAI)
作者: Crawford, Victoria G. Univ Florida Gainesville FL 32611 USA
In this paper, the monotone submodular maximization problem (SM) is studied. SM is to find a subset of size kappa from a universe of size n that maximizes a monotone submodular objective function f. We show using a no... 详细信息
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Preventing Premature Convergence and Proving the Optimality in evolutionary algorithms  11
Preventing Premature Convergence and Proving the Optimality ...
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11th Biennial International Conference on Artificial Evolution (EA)
作者: Vanaret, Charlie Gotteland, Jean-Baptiste Durand, Nicolas Alliot, Jean-Marc Ecole Natl Aviat Civile Lab Math Appl Informat & Automat Aerien Toulouse France Inst Rech Informat Toulouse Toulouse France
evolutionary algorithms (EA) usually carry out an efficient exploration of the search-space, but get often trapped in local minima and do not prove the optimality of the solution. Interval-based techniques, on the oth... 详细信息
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evolutionary algorithms for Parameter Estimation of Metabolic Systems
Advances in Intelligent Systems and Computing
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Advances in Intelligent Systems and Computing 2013年 210卷 201-209页
作者: Lebedik, Anastasia Slustikova Zelinka, Ivan Tomas Bata University in Zlin T.G. Masaryka 5555 760 01 Zlin Czech Republic Department of Computer Science VŚB-Technical University of Ostrava 17. listopadu 15 708 33 Ostrava-Poruba Czech Republic
For many years, computational tools have been widely applied to study such complex systems as metabolic networks. One of the principal questions in modeling of metabolic systems is the parameter estimation of model, w... 详细信息
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Cooperation of evolutionary algorithms: A Comparison of Several Hierarchical Models  21st
Cooperation of Evolutionary Algorithms: A Comparison of Seve...
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21st International Conference on Soft Computing (MENDEL)
作者: Polakova, Radka Tvrdik, Josef Univ Ostrava Ctr Excellence IT4Innovat Inst Res & Applicat Fuzzy Modeling 30 Dubna 22 CZ-70103 Ostrava Czech Republic
The cooperation of evolutionary algorithms in a simple hierarchical model was proposed. Three adaptive variants of differential evolution and covariance-matrix-adaptation evolutionary strategy were chosen for cooperat... 详细信息
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Steering of Balance between Exploration and Exploitation Properties of evolutionary algorithms - Mix Selection
Steering of Balance between Exploration and Exploitation Pro...
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10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010)
作者: Slowik, Adam Koszalin Univ Technol Dept Elect & Comp Sci PL-75453 Koszalin Poland
In this paper the novel selection method which can be used in any evolutionary algorithm is presented. Proposed method is based on steering between exploration and exploitation properties of evolutionary algorithms. I... 详细信息
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Analysis of scalable parallel evolutionary algorithms
Analysis of scalable parallel evolutionary algorithms
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IEEE Congress on evolutionary Computation
作者: He, Jun Yao, Xin Univ Birmingham Sch Comp Sci Birmingham B15 2TT W Midlands England Beijing Jiaotong Univ Sch Comp Sci Beijing Peoples R China
Inherent parallelism is regarded as one of the most important advantages of evolutionary algorithms. This paper aims at making an initial study on the speedup of scalable parallel evolutionary algorithms. First the sc... 详细信息
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Improving ESOP-Based Synthesis of Reversible Logic Using evolutionary algorithms  1
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Conference on EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, AND EvoSTOC
作者: Drechsler, Rolf Finder, Alexander Wille, Robert Univ Bremen Inst Comp Sci D-28359 Bremen Germany
Reversible circuits, i.e. circuits which map each possible input vector to a unique output vector, build the basis for emerging applications e.g. in the domain of low-power design or quantum computation. As a result, ... 详细信息
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Increasing Efficiency of evolutionary algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning
Increasing Efficiency of Evolutionary Algorithms by Choosing...
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11th IEEE International Conference on Machine Learning and Applications (ICMLA)
作者: Buzdalova, Arina Buzdalov, Maxim St Petersburg Natl Res Univ Informat Technol Mech 49 Kronverkskiy Prosp St Petersburg 197101 Russia
In this paper further investigation of the previously proposed method of speeding up single-objective evolutionary algorithms is done. The method is based on reinforcement learning which is used to choose auxiliary fi... 详细信息
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Meta‐Heuristic and evolutionary algorithms for Engineering Optimization  1
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丛书名: Wiley series in operations research and management science
2017年
作者: Omid Bozorg‐Haddad Mohammad Solgi Hugo A. Loáiciga
A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms an... 详细信息
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Combining evolutionary algorithms and Deep Learning for Hardware/Software Interface Optimization  1
Combining Evolutionary Algorithms and Deep Learning for Hard...
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ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)
作者: Servadei, Lorenzo Mosca, Edoardo Werner, Michael Esen, Volkan Wille, Robert Ecker, Wolfgang Johannes Kepler Univ Linz Munich Germany Infineon Technol AG Munich Germany Tech Univ Munich Munich Germany
With the advancement of Internet of Things, the cost of System-on-Chips (in terms of area, performance, etc.) becomes increasingly relevant for realizing affordable as well as performant devices. Although System-on-Ch... 详细信息
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