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检索条件"主题词=Estimation of distribution algorithm"
436 条 记 录,以下是371-380 订阅
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A compact genetic algorithm for the network coding based resource minimization problem
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APPLIED INTELLIGENCE 2012年 第4期36卷 809-823页
作者: Xing, Huanlai Qu, Rong Univ Nottingham Sch Comp Sci Automated Scheduling Optimisat & Planning ASAP Gr Nottingham NG8 1BB England
In network coding based data transmission, intermediate nodes in the network are allowed to perform mathematical operations to recombine (code) data packets received from different incoming links. Such coding operatio... 详细信息
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Improved Mutual Information Maximizing Input Clustering algorithm for Permutation Flow Shop Scheduling Problem
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SENSOR LETTERS 2012年 第8期10卷 1862-1866页
作者: Gao, Huimin Wang, Xiaoping Jiaxing Univ Mech & Elect Engn Coll Jiaxing 314001 Peoples R China Jiaxing Univ Sch Business Jiaxing 314001 Peoples R China
Improved Mutual Information Maximizing Input Clustering algorithm is a kind of discrete estimation of distribution algorithm, which is convenient to solve permutation flow shop scheduling problem. In this paper, the e... 详细信息
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Evolving NK-complexity for Evolutionary Solvers  12
Evolving NK-complexity for Evolutionary Solvers
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14th International Conference on Genetic and Evolutionary Computation Conference (GECCO)
作者: Santana, Roberto Mendiburu, Alexander Lozano, Jose A. Univ Basque Country UPV EHU P Manuel Lardizabal 1 San Sebastian 20018 Spain
In this paper we empirically investigate the structural characteristics that can help to predict the complexity of NK-landscape instances for estimation of distribution algorithms (EDAs). We evolve instances that maxi... 详细信息
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Maximizing the Number of Polychronous Groups in Spiking Networks  12
Maximizing the Number of Polychronous Groups in Spiking Netw...
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14th International Conference on Genetic and Evolutionary Computation Conference (GECCO)
作者: Santana, Roberto Bielza, Concha Larranaga, Pedro Univ Basque Country UPV EHU P Manuel de Lardizabal 1 Donostia San Sebastian 20018 Spain Univ Politecn Madrid DIA Madrid Spain
In this paper we investigate the effect of biasing the axonal connection delay values in the number of polychronous groups produced for a spiking neuron network model. We use an estimation of distribution algorithm (E... 详细信息
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An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering
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JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY 2007年 第12期58卷 1574-1585页
作者: Aickelin, U. Burke, E. K. Li, J. Univ Nottingham Sch Comp Sci & IT Nottingham NG8 1BB England
This paper proposes a new memetic evolutionary algorithm to achieve explicit learning in rule-based nurse rostering, which involves applying a set of heuristic rules for each nurse's assignment. The main framework... 详细信息
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A Hybrid Adaptive Evolutionary algorithm in the Domination-based and Decomposition-based Frameworks of Multi-objective Optimization
A Hybrid Adaptive Evolutionary Algorithm in the Domination-b...
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IEEE Congress on Evolutionary Computation (CEC)
作者: Shim, V. A. Tan, K. C. Tan, K. K. Natl Univ Singapore Dept Elect & Comp Engn Singapore 117548 Singapore
Under the framework of evolutionary paradigms, many variations of evolutionary algorithms have been designed. Each of the algorithms performs well in certain cases and none of them are dominating one another. This stu... 详细信息
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Genetic & Evolutionary Biometrics: Hybrid Feature Selection and Weighting for a Multi-Modal Biometric System
Genetic & Evolutionary Biometrics: Hybrid Feature Selection ...
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IEEE SoutheastCon
作者: Alford, Aniesha Steed, Crystal Jeffrey, Marcus Sweet, Donovan Shelton, Joseph Small, Lasanio Leflore, Derrick Dozier, Gerry Bryant, Kelvin Kelly, John C. Abegaz, Tamirat Ricanek, Karl N Carolina Agr & Tech State Univ Ctr Adv Studies Ident Sci Greensboro NC 27411 USA Clemson Univ Comp Sci Clemson SC USA North Carolina A&T State Univ Elect & Comp Engn Greensboro NC USA Univ N Carolina Ctr Adv Studies Ident Sci Wilmington NC USA
The Genetic & Evolutionary Computation (GEC) research community is seeing the emergence of a new and exciting subarea, referred to as Genetic & Evolutionary Biometrics (GEB), as GECs are increasingly being app... 详细信息
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Genetic & Evolutionary Biometrics: Feature Extraction from a Machine Learning Perspective
Genetic & Evolutionary Biometrics: Feature Extraction from a...
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IEEE SoutheastCon
作者: Shelton, Joseph Alford, Aniesha Small, Lasanio Leflore, Derrick Williams, Jared Adams, Joshua Dozier, Gerry Bryant, Kelvin Abegaz, Tamirat Ricanek, Karl NC A&T Ctr Adv Studies Ident Sci Greensboro NC USA Clemson Univ Comp Sci Clemson SC USA Univ N Carolina Dept Comp Sci Wilmington NC USA
Genetic & Evolutionary Biometrics (GEB) is a newly emerging area of study devoted to the design, analysis, and application of genetic and evolutionary computing to the field of biometrics. In this paper, we presen... 详细信息
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Asynchronous Strategy of Parallel Hybrid Approach of GA and EDA for Function Optimization
Asynchronous Strategy of Parallel Hybrid Approach of GA and ...
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3rd International Conference on Networking and Computing (ICNC)
作者: Said, Said Mohamed Nakamura, Morikazu Univ Ryukyus Dept Informat Engn Nishihara Okinawa 9030213 Japan
This paper adapts parallel master-slave estimation of distribution and genetic algorithms (GAs and EDAs) hybridization. The master selects portions of the search space, and slaves perform, in parallel and independentl... 详细信息
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Global Multiobjective Optimization via estimation of distribution algorithm with Biased Initialization and Crossover  07
Global Multiobjective Optimization via Estimation of Distrib...
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Annual Conference of Genetic and Evolutionary Computation Conference
作者: Zhou, Aiming Zhang, Qingfu Jin, Yaochu Sendhoff, Bernhard Tsang, Edward Univ Essex Dept Comp Sci Colchester CO4 3SQ Essex England Honda Res Inst Europe D-63073 Offenbach Germany
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary agorithms. In this paper, two operators, biased initialization and biased crossover, axe proposed to improve the gl... 详细信息
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