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检索条件"主题词=evolutionary Algorithms"
11906 条 记 录,以下是341-350 订阅
Delivering diverse web server configuration in a moving target defense using evolutionary algorithms  20
Delivering diverse web server configuration in a moving targ...
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2020 Genetic and evolutionary Computation Conference, GECCO 2020
作者: Serrano-Collado, Ernesto García-Valdez, Mario Guervós, Juan-Julián Merelo University of Granada Granada Spain Instituto Tecnológico de Tijuana Tijuana Baja California Mexico
Creating diverse service configurations that can be swiftly swapped is the essence of the so called Moving Target Defense: presenting a different attack surface for attackers profiling a system for further advances ca... 详细信息
来源: 评论
Estimating Approximation Errors of Elitist evolutionary algorithms  14th
Estimating Approximation Errors of Elitist Evolutionary Algo...
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14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019
作者: Wang, Cong Chen, Yu He, Jun Xie, Chengwang School of Science Wuhan University of Technology Wuhan430070 China School of Science and Technology Nottingham Trent University NottinghamNG11 8NS United Kingdom School of Computer and Information Engineering Nanning Normal University Nanning530299 China
When evolutionary algorithms (EAs) are unlikely to locate precise global optimal solutions with satisfactory performances, it is important to substitute alternative theoretical routine for the analysis of hitting time... 详细信息
来源: 评论
evolutionary algorithms with Self-adjusting Asymmetric Mutation
arXiv
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arXiv 2020年
作者: Rajabi, Amirhossein Witt, Carsten Technical University of Denmark Kgs Lyngby Denmark
evolutionary algorithms (EAs) and other randomized search heuristics are often considered as unbiased algorithms that are invariant with respect to different transformations of the underlying search space. However, if... 详细信息
来源: 评论
Testing the Intermediate Disturbance Hypothesis in Concurrent evolutionary algorithms  7th
Testing the Intermediate Disturbance Hypothesis in Concurren...
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7th Workshop on Engineering Applications, WEA 2020
作者: Merelo, J.J. Valdez, Mario García Rojas-Galeano, Sergio Universidad de Granada Granada Spain Instituto Tecnológico de Tijuana TijuanaBaja California Mexico Universidad Distrital Francisco José de Caldas Bogotá Colombia
Concurrency is a powerful abstraction that can be used to model and implement multi-deme evolutionary algorithms, opening up additional design questions such as what the different populations in various threads can do... 详细信息
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A New Hybridization of evolutionary algorithms, GRASP and Set-Partitioning Formulation for the Capacitated Vehicle Routing Problem  9th
A New Hybridization of Evolutionary Algorithms, GRASP and Se...
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9th Brazilian Conference on Intelligent Systems, BRACIS 2020
作者: Machado, André Manhães Boeres, Maria Claudia Silva Rosa, Rodrigo de Alvarenga Mauri, Geraldo Regis Universidade Federal do Espírito Santo VitoriaES Brazil
This work presents a new hybrid method based on the route-first-cluster-second approach using Greedy Randomized Adaptive Search Procedure (GRASP), Differential Evolution (DE), evolutionary Local Search (ELS) and set-p... 详细信息
来源: 评论
Application of evolutionary algorithms and Criticality Metrics for the Verification and Validation of Automated Driving Systems at Urban Intersections  31
Application of Evolutionary Algorithms and Criticality Metri...
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31st IEEE Intelligent Vehicles Symposium, IV 2020
作者: Bussler, Andreas Hartjen, Lukas Philipp, Robin Schuldt, Fabian Volkswagen Group Innovation Wolfsburg Germany
This paper proposes an approach to identify relevant parameter combinations within Logical Scenarios for the verification and validation (VV) of automated driving systems (ADS). One approach to potentially reach the g... 详细信息
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Stagnation in evolutionary algorithms: Convergence ≠ Optimality
arXiv
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arXiv 2025年
作者: Zhou, Xiaojun School of Automation Central South University Changsha410083 China
In the evolutionary computation community, it is widely believed that stagnation impedes convergence in evolutionary algorithms, and that convergence inherently indicates optimality. However, this perspective is misle... 详细信息
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A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective evolutionary algorithms
arXiv
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arXiv 2021年
作者: Harada, Tomohiro Faculty of System Design Tokyo Metropolitan University 2-503 6-6 Asahigaoka Tokyo Hino1910065 Japan
Parallel evolutionary algorithms (PEAs) have been studied for reducing the execution time of evolutionary algorithms by utilizing parallel computing. An asynchronous PEA (APEA) is a scheme of PEAs that increases compu... 详细信息
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Removing Randomness from evolutionary algorithms  20
Removing Randomness from Evolutionary Algorithms
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Genetic and evolutionary Computation Conference (GECCO)
作者: Whitley, Darrell Colorado State Univ Comp Sci Ft Collins CO 80523 USA
It is natural to think of evolutionary algorithms as highly stochastic search methods. This can also make evolutionary algorithms, and particularly recombination, quite difficult to analyze. One way to reduce randomne... 详细信息
来源: 评论
Influence of Binomial Crossover on Approximation Error of evolutionary algorithms
arXiv
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arXiv 2021年
作者: Wang, Cong He, Jun Chen, Yu Zou, Xiufen School of Science Wuhan University of Technology Wuhan430070 China Department of Computer Science Nottingham Trent University Clifton Campus NottinghamNG11 8NS United Kingdom School of Mathematics and Statistics Wuhan University Wuhan430072 China Computational Science Hubei Key Laboratory Wuhan University Wuhan430072 China
Although differential evolution (DE) algorithms perform well on a large variety of complicated optimization problems, only a few theoretical studies are focused on the working principal of DE algorithms. To make the f... 详细信息
来源: 评论