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检索条件"主题词=evolutionary algorithms"
12063 条 记 录,以下是4731-4740 订阅
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A fuzzy inference system-inspired influence function for the cultural algorithm with evolutionary programming applied to real-valued function optimization
A fuzzy inference system-inspired influence function for the...
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11th Annual Genetic and evolutionary Computation Conference, GECCO-2009
作者: Torres, Mário Augusto Silva, Rodrigo Magno Teixeira, Otávio Noura Limão, Roberto Universidade Federal Do Pará Rua Augusto Corrêa 1 Guamá Belém PA Brazil Universidade Federal Do Rio Grande Do Sul Porto Alegre RS Brazil
In this paper, we present a Fuzzy Influence Function for the CAEP model (Cultural algorithms with evolutionary Programming) proposed by Chung [1] and extended by Zhu [6], applied to real-valued function optimization. ... 详细信息
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EvoGeneS, a new evolutionary approach to graph generation
EvoGeneS, a new evolutionary approach to graph generation
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5th European Conference on evolutionary Computation in Combinatorial Optimization, EvoCOP 2005
作者: Cordella, Luigi Pietro De Stefano, Claudio Fontanella, Francesco Marcelli, Angelo Department of Information Engineering and Systems University of Naples Via Claudio 21 80125 Naples Italy Italy Italy
Graphs are powerful and versatile data structures, useful to represent complex and structured information of interest in various fields of science and engineering. We present a system, called EvoGeneS, based on an evo... 详细信息
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High-fidelity swept and leaned rotor blade design optimization using evolutionary algorithm
High-fidelity swept and leaned rotor blade design optimizati...
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16th AIAA Computational Fluid Dynamics Conference 2003
作者: Oyama, Akira Liou, Meng-Sing Obayashi, Shigeru NASA Glenn Research Center Brook Park OH 4135 United States NASA Glenn Research Center MS 5-11 Brook Park OH 44135 United States Tohoku University Katahira 2-1-1 Sendai Japan
In this paper, aerodynamic blade design optimization for a transonic axial compressor has demonstrated by using an evolutionary-algorithm-based high-fidelity design optimization tool. The present method uses a three-d... 详细信息
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A tuning scheme for parameters of generalized predictive controller based on mind evolutionary algorithm
A tuning scheme for parameters of generalized predictive con...
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2012 International Conference on Computing, Measurement, Control and Sensor Network, CMCSN 2012
作者: Guo, Hongge Xie, Keming College of Information Engineering Taiyuan University of Technology Taiyuan 030024 Shanxi China College of Electronic and Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 Shanxi China
This paper presents a scheme that the Mind evolutionary Algorithm(MEA) tunes adaptively parameters of the generalized predictive controller. The value domain of parameters constitutes the solution space of MEA. The co... 详细信息
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RETRACTED ARTICLE: Based on Pareto strength value of the multi-objective optimization evolutionary algorithm
RETRACTED ARTICLE: Based on Pareto strength value of the mul...
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作者: Yang, Lingen Li, Hongmei Department of Computer Guangdong Baiyun University Guangzhou Guangdong 510450 China
Multi-objective optimization(MOO) has become an important research area of evolutionary computation in recent years,and the current research work focuses on the Pareto optimal-based MOO evolutionary approaches. The re... 详细信息
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A replicator equations-based evolutionary algorithm for the maximum clique problem
<i>A replicator equations</i>-based evolutionary algorithm f...
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2000 Congress on evolutionary Computation (CEC2000)
作者: Rossi, C Univ Ca Foscari Venezia Dipartimento Informat I-30173 Venice Italy
In this paper we propose a heuristic based evolutionary algorithm for the Maximum Clique Problem. The algorithm is based on a local search heuristic centered on a continuous formulation of the problem which is approac... 详细信息
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Self-configuring hybrid evolutionary algorithm for fuzzy classification with active learning
Self-configuring hybrid evolutionary algorithm for fuzzy cla...
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IEEE Congress on evolutionary Computation, CEC 2015
作者: Stanovov, Vladimir Semenkin, Eugene Semenkina, Olga Eugene Institute of Informatics and Telecommunications Siberian State Aerospace University Krasnoyarsk Russia
A novel approach for active training example selection in classification problems is presented. This active selection of training examples is designed to decrease the amount of computation resources required and incre... 详细信息
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evolutionary optimization of risk budgeted long-short portfolios
Evolutionary optimization of risk budgeted long-short portfo...
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IEEE Symposium on Computational Intelligence for Financial Engineering and Economics
作者: Pai, G.A. Vijayalakshmi Michel, Thierry Dept. of Computer Applications PSG College of Technology Coimbatore India Tactical Asset Allocation Overlay Lombard Odier Darier Hentsch Gestion Paris France
Risk Budgeting is a relatively recent investment strategy instrumental in building long-short portfolios and notionally expected to enhance investment exposure and market protection. However, the inclusion of the stra... 详细信息
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Ensembled Classifier-Based evolutionary Algorithm for Dynamic Disassembly Line Balancing
Ensembled Classifier-Based Evolutionary Algorithm for Dynami...
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2023 International Conference on Frontiers of Robotics and Software Engineering, FRSE 2023
作者: Cui, Hao Fang, Yilin Wuhan University of Technology School of Information Engineering Wuhan China
This paper analyzes the dynamic disassembly line balancing problem based on product state uncertainty and regards it as a dynamic multi-objective optimization problem to solve. In dynamic multi-objective optimization ... 详细信息
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A novel traveling salesman problem solution by accelerated evolutionary computation with approximated cost matrix in an industrial application
A novel traveling salesman problem solution by accelerated e...
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2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011
作者: Pei, Yan Takagi, Hideyuki Graduate School of Design Kyushu University Fukuoka Japan Faculty of Design Kyushu University Fukuoka Japan
We propose an industrial technological solution for the traveling salesman problem (TSP) by using the approximated cost matrix and an accelerated evolutionary computation (EC) algorithm. The cost matrix used by theore... 详细信息
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