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检索条件"主题词=evolutionary Algorithms"
12066 条 记 录,以下是321-330 订阅
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A preliminary investigation into automatically evolving computer viruses using evolutionary algorithms
A preliminary investigation into automatically evolving comp...
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5th International Symposium on Intelligent Systems Technologies and Applications (ISTA) / International Conference on Applied Soft Computing and Communication Networks (ACN)
作者: Murali, Ritwik Velayutham, C. Shunmuga Amrita Vishwa Vidyapeetham Amrita Sch Engn Coimbatore Dept Comp Sci & Engn Coimbatore Tamil Nadu India
This paper attempts to employ evolutionary Algorithm(EA) techniques to evolve variants of a computer virus(Timid) that successfully evades popular antivirus scanners. Generating authentic variants of a specific malwar... 详细信息
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Specific Single- and Multi-Objective evolutionary algorithms for the Chance-Constrained Knapsack Problem
Specific Single- and Multi-Objective Evolutionary Algorithms...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Xie, Yue Neumann, Aneta Neumann, Frank Univ Adelaide Adelaide SA Australia
The chance-constrained knapsack problem is a variant of the classical knapsack problem where each item has a weight distribution instead of a deterministic weight. The objective is to maximize the total profit of the ... 详细信息
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Self-tuning Co-Operation of Biology-Inspired and evolutionary algorithms for Real-World Single Objective Constrained Optimization
Self-tuning Co-Operation of Biology-Inspired and Evolutionar...
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IEEE Congress on evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Akhmedova, Shakhnaz Stanovov, Vladimir Reshetnev Siberian State Univ Sci & Technol Dept Higher Math Krasnoyarsk Russia
Solving single objective constrained real-parameter optimization problems via population-based algorithms has attracted much attention. In this paper, a new self-tuning meta-heuristic approach called Fuzzy Controlled ... 详细信息
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evolutionary algorithms for the Chance-Constrained Knapsack Problem
Evolutionary Algorithms for the Chance-Constrained Knapsack ...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Xie, Yue Harper, Oscar Assimi, Hirad Neumann, Aneta Neumann, Frank Univ Adelaide Sch Comp Sci Adelaide SA Australia
evolutionary algorithms have been widely used for a range of stochastic optimization problems. In most studies, the goal is to optimize the expected quality of the solution. Motivated by real-world problems where cons... 详细信息
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Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based evolutionary algorithms  24
Many-Objective Problems Are Not Always Difficult for Pareto ...
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24th European Conference on Artificial Intelligence (ECAI)
作者: Ishibuchi, Hisao Matsumoto, Takashi Masuyama, Naoki Nojima, Yusuke Southern Univ Sci & Technol Univ Key Lab Evolving Intelligent Syst Guangdong Dept Comp Sci & Engn Shenzhen Key Lab Computat Intelligence Shenzhen Peoples R China Osaka Prefecture Univ Grad Sch Engn Dept Comp Sci & Intelligent Syst Sakai Osaka 5998531 Japan
Recently, it has repeatedly been reported that the search ability of Pareto dominance-based multi-objective evolutionary algorithms severely deteriorates with the increase in the number of objectives. In this paper, w... 详细信息
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Autonomous Flight of Unmanned Aerial Vehicles Using evolutionary algorithms  6th
Autonomous Flight of Unmanned Aerial Vehicles Using Evolutio...
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6th Latin American Conference on High Performance Computing (CARLA)
作者: Gaudin, Americo Madruga, Gabriel Rodriguez, Carlos Iturriaga, Santiago Nesmachnow, Sergio Paz, Claudio Danoy, Gregoire Bouvry, Pascal Univ Republica Montevideo Uruguay Univ Tecnol Nacl Cordoba Argentina Univ Luxembourg Luxembourg Luxembourg
This article explores the application of evolutionary algorithms and agent-oriented programming to solve the problem of searching and monitoring objectives through a fleet of unmanned aerial vehicles. The subproblem o... 详细信息
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Waveform Design for Optimal Wireless Power Transfer Using evolutionary algorithms  9
Waveform Design for Optimal Wireless Power Transfer Using Ev...
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9th International Conference on Modern Circuits and Systems Technologies (MOCAST)
作者: Doanis, Pavlos Boursianis, Achilles D. Huillery, Julien Breard, Arnaud Duroc, Yvan Goudos, Sotirios K. Aristotle Univ Thessaloniki Sch Phys Thessaloniki Greece Univ Lyon Ecole Cent Lyon Ampere UMR5005 Ecully France
One of the possible ways to increase the end-to-end power transfer efficiency in a radiative Wireless Power Transfer (WPT) system is by transmitting multi-tone signals optimized according to the receiver rectenna'... 详细信息
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Runtime Analysis of evolutionary algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem
Runtime Analysis of Evolutionary Algorithms with Biased Muta...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Roostapour, Vahid Bossek, Jakob Neumann, Frank Univ Adelaide Optimisat & Logist Adelaide SA Australia
evolutionary algorithms (EAs) are general-purpose problem solvers that usually perform an unbiased search. This is reasonable and desirable in a black-box scenario. For combinatorial optimization problems, often more ... 详细信息
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Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space  20
Expediting the convergence of evolutionary algorithms by ide...
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2020 Genetic and evolutionary Computation Conference, GECCO 2020
作者: Rahi, Kamrul Hasan Habib, Ahsanul Singh, Hemant Kumar Ray, Tapabrata University of New South Wales CanberraACT2600 Australia
evolutionary algorithms (EAs) are widely used for optimization. Their use is particularly beneficial for problems where underlying objective functions and/or constraints are highly non-linear / black-box and the class... 详细信息
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Runtime Analysis of Non-Elitist evolutionary algorithms with Fitness-Proportionate Selection on Royal Road Functions
Runtime Analysis of Non-Elitist Evolutionary Algorithms with...
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2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
作者: Eremeev, Anton V. Sobolev Institute of Mathematics Sb Ras Omsk Russia Institute of Scientific Information for Social Sciences Ras Moscow Russia
It has been shown before that some results from the theory of evolutionary algorithms (EAs) may be used for the analysis of population dynamics in biology. In the present paper, we study the EAs without elite individu... 详细信息
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