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检索条件"主题词=evolutionary Algorithms"
12071 条 记 录,以下是4821-4830 订阅
排序:
A bio-inspired evolutionary algorithm: allostatic optimisation
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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2016年 第3期8卷 154-169页
作者: Osuna-Enciso, Valentin Cuevas, Erik Oliva, Diego Sossa, Humberto Perez-Cisneros, Marco Univ Guadalajara Centro Univ Tonala Div Ciencias Guadalajara 44430 Jalisco Mexico Univ Guadalajara Ctr Univ Ciencias Exactas & Ingn Div Elect Guadalajara 44430 Jalisco Mexico Univ Complutense Fac Informat Dept Ingn Software & Inteligencia Artificial E-28040 Madrid Spain Inst Politecn Nacl CIC Ave Juan de Dios Batiz S-N Mexico City DF Mexico
Over the last decade, several bio-inspired algorithms have emerged for solving complex optimisation problems. Since the performance of these algorithms present a suboptimal behaviour, a tremendous amount of research h... 详细信息
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A cycle-based evolutionary algorithm for the fixed-charge capacitated multi-commodity network design problem
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2016年 第2期253卷 265-279页
作者: Paraskevopoulos, Dimitris C. Bektas, Tolga Crainic, Teodor Gabriel Potts, Chris N. Univ Bath Sch Management Bath BA2 7AY Avon England Univ Southampton Southampton Business Sch CORMSIS Southampton SO17 1BJ Hants England Univ Quebec Ecole Sci Gest Dept Management & Technol Interuniv Res Ctr Enterprise Networks Logist & Tr CP 8888Succ Ctr Ville Montreal PQ H3C 3P8 Canada Univ Southampton CORMSIS Math Sci Southampton SO17 1BJ Hants England
This paper presents an evolutionary algorithm for the fixed-charge multicommodity network design problem (MCNDP), which concerns routing multiple commodities from origins to destinations by designing a network through... 详细信息
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Joint optimization of a Microgrid's structure design and its operation using a two-steps evolutionary algorithm
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ENERGY 2016年 94卷 775-785页
作者: Mallol-Poyato, R. Jimenez-Fernandez, S. Diaz-Villar, P. Salcedo-Sanz, S. Univ Alcala Dept Signal Theory & Commun Madrid 28871 Spain
In this paper a novel problem in MGs (Migrogrids) is analyzed. The problem consists in the joint optimization of the MG structure and operation, by obtaining on the one hand an optimal sizing of its elements and struc... 详细信息
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An effective co-evolutionary quantum algorithm for multimodal functions
Boletin Tecnico/Technical Bulletin
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Boletin Tecnico/Technical Bulletin 2017年 第7期55卷 42-48页
作者: Zhou, Liang Zhang, Siwen Sun, Yu School of Information Management Shanghai Lixin University of Accounting and Finance Shanghai201620 China Glorious Sun School of Business and Management Donghua University Shanghai200051 China School of Business and Leadership Our Lady of the Lake University San AntonioTX78207 United States
Since it is difficult for traditional quantum evolutionary algorithm (QEA) to find the global optimal solutions in multimodal optimization problems, an effective co-evolutionary quantum algorithm (ECQA) is proposed in... 详细信息
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Using Choquet integral as preference model in interactive evolutionary multiobjective optimization
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2016年 第3期250卷 884-901页
作者: Branke, Juergen Corrente, Salvatore Greco, Salvatore Slowinski, Roman Zielniewicz, Piotr Univ Warwick Warwick Business Sch Coventry CV4 7AL W Midlands England Univ Catania Dept Econ & Business Corso Italia 55 I-95129 Catania Italy Univ Portsmouth Portsmouth Business Sch CORL Portsmouth PO1 3DE Hants England Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland Poznan Univ Tech Inst Comp Sci PL-60965 Poznan Poland
We propose an interactive multiobjective evolutionary algorithm that attempts to discover the most preferred part of the Pareto-optimal set. Preference information is elicited by asking the user to compare some soluti... 详细信息
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evolutionary identification of hidden chaotic attractors
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2016年 50卷 159-167页
作者: Zelinka, Ivan Ton Duc Thang Univ Modeling Evolutionary Algorithms Simulat & Artifi Ho Chi Minh City Vietnam FEI VSB Tech Univ Ostrava Dept Comp Sci Tr 17 Listopadu 15 Ostrava Czech Republic
In this participation we discuss the possibility of mutual fusion of evolutionary algorithms and deterministic chaos. As demonstrated in previous research papers, evolutionary algorithms are capable of chaotic system ... 详细信息
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Cascaded evolutionary algorithm for nonlinear system identification based on correlation functions and radial basis functions neural networks
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2016年 68-69卷 378-393页
作者: Hultmann Ayala, Helon Vicente Coelho, Leandro dos Santos Pontifical Catholic Univ Parana PUCPR Ind & Syst Engn Grad Program BR-80215910 Curitiba PR Brazil Fed Univ Parana UFPR Dept Elect Engn BR-81531980 Curitiba PR Brazil
The present work introduces a procedure for input selection and parameter estimation for system identification based on Radial Basis Functions Neural Networks (RBFNNs) models with an improved objective function based ... 详细信息
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An evolutionary Technique for Performance-Energy-Temperature Optimized Scheduling of Parallel Tasks on Multi-Core Processors
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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2016年 第3期27卷 668-681页
作者: Sheikh, Hafiz Fahad Ahmad, Ishfaq Fan, Dongrui Univ Texas Arlington Dept Comp Sci & Engn 500 UTA Blvd Arlington TX 76019 USA Chinese Acad Sci SKL Comp Architecture Inst Comp Technol 6 Kexueyuan South Rd Zhongguancun Beijing 100190 Peoples R China
This paper proposes a multi-objective evolutionary algorithm (MOEA)-based task scheduling approach for determining Pareto optimal solutions with simultaneous optimization of performance (P), energy (E), and temperatur... 详细信息
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An evolutionary approach for 3D architectural space layout design exploration
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AUTOMATION IN CONSTRUCTION 2016年 第Sep.期69卷 131-150页
作者: Dino, Ipek Gursel Univ Mah Middle East Tech Univ Dept Architecture Dumlupinar Bulvari 1 TR-06800 Ankara Turkey
This work introduces evolutionary Architectural Space layout Explorer (EASE), a design tool that facilitates the optimization of 3D space layouts. EASE addresses architectural design exploration and the need to attend... 详细信息
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A Decomposition-Based Unified evolutionary Algorithm for Many-Objective Problems Using Particle Swarm Optimization
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MATHEMATICAL PROBLEMS IN ENGINEERING 2016年 第1期2016卷 1-15页
作者: Pan, Anqi Tian, Hongjun Wang, Lei Wu, Qidi Tongji Univ Sch Elect & Informat Shanghai 201804 Peoples R China
evolutionary algorithms have proved to be efficient approaches in pursuing optimum solutions of multiobjective optimization problems with the number of objectives equal to or less than three. However, the searching pe... 详细信息
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