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检索条件"主题词=evolutionary algorithms"
12066 条 记 录,以下是621-630 订阅
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Fuzzy performance evaluation of evolutionary algorithms based on extreme learning classifier
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NEUROCOMPUTING 2016年 第PartA期175卷 371-382页
作者: Guo, Weian Zhang, Yan Chen, Ming Wang, Lei Wu, Qidi Tongji Univ Sinogerman Coll Appl Sci Shanghai 201804 Peoples R China Tongji Univ Dept Elect & Informat Shanghai 201804 Peoples R China
In current decades, various evolutionary algorithms(EAs) raise as well as many kinds of benchmarks are popular in evaluations of EAs' performances. Since there exists randomness in EAs' performances, the evalu... 详细信息
来源: 评论
Preference-guided evolutionary algorithms for many-objective optimization
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INFORMATION SCIENCES 2016年 329卷 236-255页
作者: Goulart, Fillipe Campelo, Felipe Univ Fed Minas Gerais Grad Program Elect Engn BR-31270901 Belo Horizonte MG Brazil Univ Fed Minas Gerais Dept Elect Engn BR-31270901 Belo Horizonte MG Brazil
This paper presents a technique that incorporates preference information within the framework of multi-objective evolutionary algorithms for the solution of many-objective optimization problems. The proposed approach ... 详细信息
来源: 评论
Automatic Component-Wise Design of Multiobjective evolutionary algorithms
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IEEE TRANSACTIONS ON evolutionary COMPUTATION 2016年 第3期20卷 403-417页
作者: Bezerra, Leonardo C. T. Lopez-Ibanez, Manuel Stutzle, Thomas Univ Libre Bruxelles CoDE IRIDIA Lab B-1050 Brussels Belgium
Multiobjective evolutionary algorithms (MOEAs) are typically proposed, studied, and applied as monolithic blocks with a few numerical parameters that need to be set. Few works have studied how the algorithmic componen... 详细信息
来源: 评论
A population initialization method for evolutionary algorithms based on clustering and Cauchy deviates
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EXPERT SYSTEMS WITH APPLICATIONS 2016年 60卷 294-310页
作者: Bajer, Drazen Martinovic, Goran Brest, Janez JJ Strossmayer Univ Osijek Fac Elect Engn Kneza Trpimira 2b Osijek 31000 Croatia Univ Maribor Fac Elect Engn & Comp Sci Smetanova Ul 17 SLO-2000 Maribor Slovenia
The initial population of an evolutionary algorithm is an important factor which affects the convergence rate and ultimately its ability to find high quality solutions or satisfactory solutions for that matter. If com... 详细信息
来源: 评论
Identification of Water Diffusivity of Inorganic Porous Materials Using evolutionary algorithms
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TRANSPORT IN POROUS MEDIA 2016年 第1期113卷 51-66页
作者: Koci, Jan Madera, Jiri Jerman, Milos Keppert, Martin Svora, Petr Cerny, Robert Czech Tech Univ Dept Mat Engn & Chem Fac Civil Engn Thakurova 7 Prague 16629 6 Czech Republic Acad Sci Czech Republ Inst Inorgan Chem Husinec Rez 1001 CZ-25068 Rez Czech Republic
Two evolutionary algorithms are introduced as universal approaches for the identification of water transport characteristics of inorganic porous materials in both absorption and desorption phases. At first, genetic al... 详细信息
来源: 评论
The regulatory algorithm (RGA): a two-dimensional extension of evolutionary algorithms
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SOFT COMPUTING 2016年 第5期20卷 2067-2075页
作者: Kluever, Juergen Kluever, Christina Univ Duisburg Essen Univ Str 12 D-45117 Essen Germany
In orientation to new developments in evolutionary biology we propose an extension of evolutionary algorithms in two dimensions, the regulatory algorithm (RGA). It consists of two levels of vectors, the regulatory vec... 详细信息
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A Parameterised Complexity Analysis of Bi-level Optimisation with evolutionary algorithms
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evolutionary COMPUTATION 2016年 第1期24卷 183-203页
作者: Corus, Dogan Lehre, Per Kristian Neumann, Frank Pourhassan, Mojgan Univ Nottingham Sch Comp Sci Nottingham NG7 2RD England Univ Adelaide Optimisat & Logist Adelaide SA Australia
Bi-level optimisation problems have gained increasing interest in the field of combinatorial optimisation in recent years. In this paper, we analyse the runtime of some evolutionary algorithms for bi-level optimisatio... 详细信息
来源: 评论
Optimal acceleration autopilot design for non-minimum phase missiles using evolutionary algorithms
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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2016年 第4期8卷 221-227页
作者: Bijani, Vahid Khosravi, Alireza Sarhadi, Pouria Babol Noshirvani Univ Technol Dept Elect & Comp Engn Babol Sar Mazandaran Iran
The flight control system is a key element to achieve required performance in missiles and aircrafts. First purpose of flight control system is to ensuring the stability of the system, then, it attempts to force it to... 详细信息
来源: 评论
Hyperrectangles Selection for Monotonic Classification by Using evolutionary algorithms
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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2016年 第1期9卷 184-201页
作者: Garcia, Javier AlBar, Adnan M. Aljohani, Naif R. Cano, Jose-Ramon Garcia, Salvador Univ Jaen EPS Linares Dept Comp Sci Calle Alfonso 10 El Sabio S-N Linares 23700 Spain King Abdulaziz Univ Fac Comp & Informat Technol Dept Informat Syst Jeddah Saudi Arabia Univ Granada Dept Comp Sci & Artificial Intelligence Calle Periodista Daniel Saucedo Aranda S-N E-18071 Granada Spain
In supervised learning, some real problems require the response attribute to represent ordinal values that should increase with some of the explaining attributes. They are called classification problems with monotonic... 详细信息
来源: 评论
Integration of electromagnetism with multi-objective evolutionary algorithms for RCPSP
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2016年 第1期251卷 22-35页
作者: Xiao, Jing Wu, Zhou Hong, Xi-Xi Tang, Jian-Chao Tang, Yong S China Normal Univ Sch Comp Sci Guangzhou 510631 Guangdong Peoples R China
As one of the most challenging combinatorial optimization problems in scheduling, the resource-constrained project scheduling problem (RCPSP) has attracted numerous scholars' interest resulting in considerable res... 详细信息
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