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检索条件"主题词=evolutionary algorithms"
12066 条 记 录,以下是4701-4710 订阅
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Energy-effiicient environment mapping via evolutionary algorithm optimized multi-Agent localization
Energy-effiicient environment mapping via evolutionary algor...
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2017 Genetic and evolutionary Computation Conference Companion, GECCO 2017
作者: Hallawa, Ahmed Schlupkothen, Stephan Iacca, Giovanni Ascheid, Gerd Department of Integrated Signal Processing Systems Kopernikusstrae 16 Aachen Germany
Miniature autonomous sensory agents (MASA) can play a profound role in the exploration of hardly accessible unknown environments, thus, impacting many applications such as monitoring of underground infrastructure or e... 详细信息
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Coverage and installation cost optimization in WSNs using a fitness-based crossover evolutionary algorithm
Coverage and installation cost optimization in WSNs using a ...
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2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013
作者: Champrasert, Paskorn Kumrai, Teerawat Department of Computer Engineering Chiang Mai University Chiang Mai Thailand
This paper studies and evaluates a fitness-based crossover operator in an evolutionary multi-objective optimization algorithm, which heuristically optimizes the sensing coverage area and the installation cost in wirel... 详细信息
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evolutionary computation: A unified approach  11
Evolutionary computation: A unified approach
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13th Annual Genetic and evolutionary Computation Conference - Companion Publication, GECCO 2011 Companion
作者: De Jong, Kenneth Computer Science Department George Mason University United States
The field of evolutionary Computation has experienced tremendous growth over the past 20 years, resulting in a wide variety of evolutionary algorithms and applications. The result poses an interesting dilemma for many... 详细信息
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Experimental neuromorphic computing based on quantum memristor
arXiv
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arXiv 2025年
作者: Selimović, Mirela Agresti, Iris Siemaszko, Michal Morris, Joshua Dakić, Borivoje Albiero, Riccardo Crespi, Andrea Ceccarelli, Francesco Osellame, Roberto Stobińska, Magdalena Walther, Philip Boltzmanngasse 5 Vienna1090 Austria Boltzmanngasse 5 Vienna1090 Austria University of Vienna Faculty of Physics VCQ Boltzmanngasse 5 Vienna1090 Austria Faculty of Mathematics Informatics and Mechanics University of Warsaw Stefana Banacha 2 Warsaw02-097 Poland Austrian Academy of Sciences Boltzmanngasse 3 Vienna1090 Austria QUBO Technology GmbH Vienna1090 Austria Istituto di Fotonica e Nanotecnologie Consiglio Nazionale delle Ricerche IFN CNR piazza L. Da Vinci 32 Milano20133 Italy Dipartimento di Fisica Politecnico di Milano piazza L. da Vinci 32 Milano20133 Italy
Machine learning has recently developed novel approaches, mimicking the synapses of the human brain to achieve similarly efficient learning strategies. Such an approach retains the universality of standard methods, wh... 详细信息
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Local convergence rate of evolutionary algorithm with combined mutation operator
Local convergence rate of evolutionary algorithm with combin...
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2002 Congress on evolutionary Computation, CEC 2002
作者: Kim, Nam Geun Won, Jin M. Lee, Jin S. Kim, S.W. Division of Electrical and Computer Engineering Pohang University of Science and Technology San 31 Hyoja-Dong Nam-Gu Pohang 790-784 Korea Republic of
An appropriate mutation operator of the evolutionary algorithm (EA) maintains a balance between exploration and exploitation. This balance is usually satisfied by using the combined mutation operators (CMOs) of the Ga... 详细信息
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An evolutionary and graph-rewriting based approach to graph generation  7
An evolutionary and graph-rewriting based approach to graph ...
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7th International Joint Conference on Computational Intelligence, IJCCI 2015
作者: Barry, Aaron Griffith, Josephine O'Riordan, Colm Computational Intelligence Research Group NUI Galway Ireland
This paper describes an evolutionary computation based graph rewriting approach to generating classes of graphs that exhibit a set of desired global features. A set of rules are used to generate, in a constructive man... 详细信息
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Adaptive parallel immune evolutionary strategy
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International Conference on Computational Intelligence and Security, CIS 2006
作者: Bo, Cheng Zhenyu, Guo Binggang, Cao Junping, Wang Research and Development Center of Electric Vehicle Xi'an Jiaotong University Xi'an 710049 China
Based on Clonal Selection Theory, an adaptive Parallel Immune evolutionary Strategy (PIES) is presented. On the grounds of antigen-antibody affinity, the original antibody population can be divided into two subgroups.... 详细信息
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A reference points-based evolutionary algorithm for many-objective optimization  14
A reference points-based evolutionary algorithm for many-obj...
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16th Genetic and evolutionary Computation Conference Companion, GECCO 2014 Companion
作者: Liu, Yiping Gong, Dunwei Sun, Xiaoyan Zhang, Yong School of Information and Electrical Engineering China University of Mining and Technology Xuzhou China
Many-objective optimization problems are common in real-world applications, few evolutionary optimization methods, however, are suitable for them up to date due to their difficulties. We proposed a reference points-ba... 详细信息
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evolutionary protein contact maps prediction based on amino acid properties
Evolutionary protein contact maps prediction based on amino ...
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Lecture Notes in Computer Science
作者: Chamorro, Alfonso E. Márquez Divina, Federico Aguilar-Ruiz, Jesús S. School of Engineering Pablo de Olavide University of Sevilla Spain
Protein structure prediction is one of the main challenges in Bioinformatics. An useful representation for protein 3D structure is the protein contact map. In this work, we propose an evolutionary approach for contact... 详细信息
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Investigations of Wilson's and Traulsen's group selection models in evolutionary computation
Investigations of Wilson's and Traulsen's group selection mo...
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Lecture Notes in Computer Science
作者: Wu, Shelly X. Banzhaf, Wolfgang Computer Science Department Memorial University of Newfoundland St John's NL A1B 3X5 Canada
Evolving cooperation by evolutionary algorithms is impossible without introducing extra mechanisms. Group selection theory in biology is a good candidate as it explains the evolution of cooperation in nature. Two biol... 详细信息
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