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检索条件"主题词=evolutionary Algorithms"
12006 条 记 录,以下是311-320 订阅
排序:
Big Archive-Assisted Ensemble of Many-Objective evolutionary algorithms
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COMPLEXITY 2021年 第1期2021卷
作者: Zhong, Wen Xiong, Jian Lin, Anping Xing, Lining Chen, Feilong Chen, Yingwu Natl Univ Def Technol Coll Syst Engn Changsha 410073 Peoples R China Southwestern Univ Finance & Econ Sch Business Adm Chengdu 611130 Sichuan Peoples R China Xiangnan Univ Sch Elect Informat & Elect Engn Chenzhou 423000 Peoples R China Unit 78090 Chengdu 610031 Peoples R China
Multiobjective evolutionary algorithms (MOEAs) have witnessed prosperity in solving many-objective optimization problems (MaOPs) over the past three decades. Unfortunately, no one single MOEA equipped with given param... 详细信息
来源: 评论
Revisiting the performance of evolutionary algorithms
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EXPERT SYSTEMS WITH APPLICATIONS 2021年 175卷 114819-114819页
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
来源: 评论
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
来源: 评论
A Conceptual Direction on Automatically Evolving Computer Malware using Genetic and evolutionary algorithms  5
A Conceptual Direction on Automatically Evolving Computer Ma...
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5th International Conference on Inventive Computation Technologies (ICICT)
作者: Murali, Ritwik Velayutham, C. Shunmuga Coimbatore Amrita Vishwa Vidyapeetham Dept Comp Sci & Engn Amrita Sch Engn Coimbatore Tamil Nadu India
The widespread use of computing devices and the heavy dependence on the internet has evolved the cyberspace to a cyber world - something comparable to an artificial world. This paper focuses on one of the major proble... 详细信息
来源: 评论
Efficient repairs of infeasible job shop problems by evolutionary algorithms
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2021年 104卷 104368-104368页
作者: Mencia, Raul Mencia, Carlos Varela, Ramiro Univ Oviedo Dept Comp Sci Oviedo Spain
We address the task of repairing infeasibility in the context of infeasible job shop scheduling problems with a hard constraint on the maximum makespan allowed. For this purpose, we adopt a job-based view of repairs, ... 详细信息
来源: 评论
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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Techniques for Accelerating Multi-Objective evolutionary algorithms in PlatEMO
Techniques for Accelerating Multi-Objective Evolutionary Alg...
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IEEE Congress on evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Tian, Ye Cheng, Ran Zhang, Xingyi Jin, Yaochu Anhui Univ Inst Phys Sci & Informat Technol Hefei Peoples R China Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen Peoples R China Anhui Univ Sch Comp Sci & Technol Hefei Peoples R China Univ Surrey Dept Comp Sci Guildford Surrey England
It has been widely recognized that evolutionary computation is one of the most effective techniques for solving complex optimization problems. As a group of meta-heuristics inspired by nature, the superiority of evolu... 详细信息
来源: 评论
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
Maximizing Submodular or Monotone Functions Under Partition Matroid Constraints by Multi-objective evolutionary algorithms  16th
Maximizing Submodular or Monotone Functions Under Partition ...
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16th International Conference on Parallel Problem Solving from Nature (PPSN)
作者: Anh Viet Do Neumann, Frank Univ Adelaide Adelaide SA Australia
Many important problems can be regarded as maximizing submodular functions under some constraints. A simple multi-objective evolutionary algorithm called GSEMO has been shown to achieve good approximation for submodul... 详细信息
来源: 评论
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
来源: 评论