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检索条件"主题词=evolutionary Algorithms"
11901 条 记 录,以下是321-330 订阅
排序:
Revisiting the performance of evolutionary algorithms
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EXPERT SYSTEMS WITH APPLICATIONS 2021年 175卷
作者: Vala, Tejas M. Rajput, Vipul N. Geem, Zong Woo Pandya, Kartik S. Vora, Santosh C. Gujarat Technol Univ Dept Elect Engn Ahmadabad 382424 Gujarat India Dr Jivraj Mehta Inst Technol Dept Elect Engn Anand 388340 Gujarat India Gachon Univ Dept Energy IT Seongnam 13120 South Korea Charotar Univ Sci & Technol Dept Elect Engn Changa 388421 Gujarat India Nirma Univ Inst Technol Dept Elect Engn Ahmadabad 382481 Gujarat India
The advent of numerical computational approaches permits evolutionary algorithms (EAs) to solve complex, real-world engineering problems. The additional modification or hybridization of such EAs in academic research a... 详细信息
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Self-Adaptive Rolling Horizon evolutionary algorithms for General Video Game Playing
Self-Adaptive Rolling Horizon Evolutionary Algorithms for Ge...
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IEEE Conference on Games (IEEE CoG)
作者: Gaina, Raluca D. Perez-Liebana, Diego Lucas, Simon M. Sironi, Chiara F. Winands, Mark H. M. Queen Mary Univ London Game AI Res Grp London England Maastricht Univ Game AI & Search Grp Maastricht Netherlands
For general video game playing agents, the biggest challenge is adapting to the wide variety of situations they encounter and responding appropriately. Some success was recently achieved by modifying search-control pa... 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
来源: 评论
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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Comparative Run-Time Performance of evolutionary algorithms on Multi-objective Interpolated Continuous Optimisation Problems  16th
Comparative Run-Time Performance of Evolutionary Algorithms ...
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16th International Conference on Parallel Problem Solving from Nature (PPSN)
作者: Zavoianu, Alexandru-Ciprian Lacroix, Benjamin McCall, John Robert Gordon Univ Sch Comp Sci & Digital Media Aberdeen Scotland
We propose a new class of multi-objective benchmark problems on which we analyse the performance of four well established multi-objective evolutionary algorithms (MOEAs) - each implementing a different search paradigm... 详细信息
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Performance comparison of GRG algorithm with evolutionary algorithms in an aqueous electrolyte system
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MODELING EARTH SYSTEMS AND ENVIRONMENT 2020年 第4期6卷 2103-2110页
作者: Hashemi, Seyed Hossein Dehghani, Seyed Ali Mousavi Samimi, Seyed Ehsan Dinmohammad, Mahmood Hashemi, Seyed Abdolrasoul Univ Mohaghegh Ardabili Chem Engn Ardebil Iran Islamic Azad Univ Shiraz Branch Young Researchers & Elite Club Shiraz Iran NIOC Res Inst Petr Ind West Blvd Azadi Sports ComplexPOB 14757-3311 Tehran Iran Gachsaran Oil & Gas Exploitat Co Comp Engn Kohgiluyeh Iran Gachsaran Oil & Gas Exploitat Co Comp Engn Boyer Ahmad Iran
Excel solver is a powerful tool for optimization of linear and nonlinear problems. With this unique tool, the user can achieve an optimal value for the desired objective function in Excel cell. This solver acts on a g... 详细信息
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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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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
来源: 评论
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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Search Progress Dependent Parent Selection for Avoiding Evaluation Time Bias in Asynchronous Parallel Multi-Objective evolutionary algorithms
Search Progress Dependent Parent Selection for Avoiding Eval...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Harada, Tomohiro Tokyo Metropolitan Univ Fac Syst Design Tokyo Japan
This paper proposes a new parent selection strategy for reducing the effect of evaluation time bias in asynchronous parallel multi-objective evolutionary algorithms. Asynchronous parallel evolutionary algorithms have ... 详细信息
来源: 评论