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检索条件"主题词=evolutionary algorithms"
12063 条 记 录,以下是4621-4630 订阅
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First Complexity Results for evolutionary Knowledge Transfer  23
First Complexity Results for Evolutionary Knowledge Transfer
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17th ACM/SIGEVO Conference on Foundations of Genetic algorithms, FOGA 2023
作者: Scott, Eric O. De Jong, Kenneth A. The Mitre Corporation McLeanVA United States George Mason University FairfaxVA United States
The field of evolutionary knowledge transfer (EKT) has recently begun to systematically develop algorithms that exploit a number of related problem instances to accelerate problem solving on difficult optimization tas... 详细信息
来源: 评论
Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing  06
Pairwise sequence comparison for fitness evaluation in evolu...
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8th Annual Genetic and evolutionary Computation Conference 2006
作者: Uyar, H. Turgut Uyar, A. Şima Harmanci, Emre Istanbul Technical University Dept. of Computer Eng. Istanbul Turkey
evolutionary algorithms are among the metaheuristic search methods that have been applied to the structural test data generation problem. Fitness evaluation methods play an important role in the performance of evoluti... 详细信息
来源: 评论
evolutionary-Based Generative Design for Electric Transmission Towers  1
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22nd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2023
作者: Moreno, Hugo Naharro, Pablo S. LaTorre, Antonio Peña, José-María Environmental and Geomatic Engineering Department University College London London United Kingdom Lurtis Rules Madrid Spain Center for Computational Simulation Technical University of Madrid Madrid Spain Lurtis Ltd. Oxford United Kingdom
evolutionary algorithms have shown during the last decades that they can solve a wide range of real-world problems in different fields, such as science or engineering. In this paper, we explore the application of Hybr... 详细信息
来源: 评论
Adaptive Large-Scale Multi-Objective evolutionary Optimization Based on Reference Solution Guidance  2
Adaptive Large-Scale Multi-Objective Evolutionary Optimizati...
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2nd Asia Conference on Electrical, Power and Computer Engineering, EPCE 2023
作者: Yuan, Xin Zhang, Xiongtao Huzhou University School of Information Engineering Huzhou China
The decision space of large-scale multi-objective evolutionary optimization problems is broader, which makes the solving process more difficult. In this paper, we propose an adaptive large-scale multi-objective optimi... 详细信息
来源: 评论
Two ports of a full evolutionary algorithm onto GPGPU
Two ports of a full evolutionary algorithm onto GPGPU
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10th International Conference on Evolution Artificielle, EA 2011
作者: Maitre, Ogier Lachiche, Nicolas Collet, Pierre LSIIT University of Strasbourg 67412 Illkirch France
This paper presents two parallelizations of a standard evolutionary algorithm on an NVIDIA GPGPU card, thanks to a parallel replacement operator. These algorithms tackle new problems where previously presented approac... 详细信息
来源: 评论
A Multi-Objective evolutionary Algorithm Based on Indicator and Performing Local Searches  4
A Multi-Objective Evolutionary Algorithm Based on Indicator ...
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4th International Conference on Information Science and Education, ICISE-IE 2023
作者: Chen, Hanning Zeng, Xiangrui Jia, Kun Hu, Yabao Wang, Guopeng School of Computer Science and Technology Tiangong University Tianjin China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of Education Beijing China School of Artificial Intelligence Tiangong University Tianjin China Jingwei Textile Machinery Co. Ltd Beijing China College of Artificial Intelligence University of Science and Technology Tianjin China The Open University of China China
The indicator-based multi-objective optimization evolutionary algorithm has gained significant attention for its strong performance across various optimization problems. We draw on the advantages and try to make impro... 详细信息
来源: 评论
An Improved Composite Differential evolutionary Algorithm with Self-adaptive Mutation Strategy for Identifying Photovoltaic Model Parameters  5
An Improved Composite Differential Evolutionary Algorithm wi...
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5th Asian Conference on Artificial Intelligence Technology, ACAIT 2021
作者: Liang, Jing Guo, Hao Yu, Kunjie Qu, Boyang Yue, Caitong Qiao, Kangjia Zhengzhou University School of Electrical Engineering Zhengzhou China Zhongyuan University of Technology School of Electric and Information Engineering Zhengzhou China
With the rapid growth of solar energy demand, the optimization of the photovoltaic model becomes significant. The conversion efficiency of the photovoltaic model is mainly determined by its structural parameters, and ... 详细信息
来源: 评论
Ensemble Strategy Based Hyper-heuristic evolutionary Algorithm for Many-Objective Optimization  13th
Ensemble Strategy Based Hyper-heuristic Evolutionary Algorit...
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13th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2024
作者: Qian, Wang Jingbo, Zhang Zhihua, Cui Shanxi Key Laboratory of Big Data Analysis and Parallel Computing Taiyuan University of Science and Technology Shanxi Taiyuan030024 China
Many-objective Optimization problems (MaOPs), with four or more objectives are difficult to solve, is a kind of common optimization problems in actual industrial production. In recent years, a large number of many-obj... 详细信息
来源: 评论
evolutionary fuzzy extreme learning machine for mammographic risk analysis
Evolutionary fuzzy extreme learning machine for mammographic...
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作者: Qu, Yanpeng Shang, Changjing Wu, Wei Shen, Qiang Department of Computer Science Aberystwyth University United Kingdom School of Mathematical Sciences Dalian University of Technology Dalian China
Mammographic risk analysis is an important and challenging issue in modern medical science;research and development in this area has recently attracted much attention. Many efforts have been devoted to achieving a hig... 详细信息
来源: 评论
Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem
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8th International Conference on Parallel Problem Solving from Nature (PPSN VIII)
作者: Neumann, F Univ Kiel Inst Informat & Prakt Math D-24098 Kiel Germany
evolutionary algorithms are applied to problems that are not well understood as well as to problems in combinatorial optimization. The analysis of these search heuristics has been started for some well-known polynomia... 详细信息
来源: 评论