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检索条件"主题词=evolutionary Algorithms"
11906 条 记 录,以下是4821-4830 订阅
排序:
evolutionary many-objective optimization based on adversarial decomposition
arXiv
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arXiv 2017年
作者: Wu, Mengyuan Li, Ke Kwong, Sam Zhang, Qingfu Department of Computer Science City University of Hong Kong College of Engineering Mathematics and Physical Sciences University of Exeter
The decomposition-based method has been recognized as a major approach for multiobjective optimization. It decomposes a multi-objective optimization problem into several singleobjective optimization subproblems, each ... 详细信息
来源: 评论
Dynamic Pricing with Neural Network Demand Models and evolutionary algorithms
Dynamic Pricing with Neural Network Demand Models and Evolut...
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30th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2010)
作者: Shakya, S. Kern, M. Owusu, G. Chin, C. M. BT Innovate & Design Business Modelling & Operat Transformat Practice Ipswich IP5 3RE Suffolk England BT Innovate & Design Core Design Team Ipswich IP5 3RE Suffolk England
The use of neural networks for demand forecasting has been previously explored in dynamic pricing literatures. However, not much has been done in its use for optimising pricing policies. In this paper, we build a neur... 详细信息
来源: 评论
A LONG-TERM MEMORY APPROACH FOR DYNAMIC MULTIOBJECTIVE evolutionary algorithms
A LONG-TERM MEMORY APPROACH FOR DYNAMIC MULTIOBJECTIVE EVOLU...
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International Conference on evolutionary Computation Theory and Applications (ECTA 2011) / International Conference on Fuzzy Computation Theory and Applications (FCTA 2011)
作者: Diaz-Manriquez, Alan Toscano-Pulido, Gregorio Landa-Becerra, Ricardo CINVESTAV Tamaulipas Parque Cient & Tecnol TECNOTAM Informat Technol Lab Km 5-5 Carretera Cd Victoria Soto La Marina Cd Victoria 87130 Tamaulipas Mexico
A dynamic optimization problem (DOP) may involve two or more functions to be optimized simultaneously, as well as constraints and parameters which can be changed over time, it is essential to have a response approach ... 详细信息
来源: 评论
Surprise search for evolutionary divergence
arXiv
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arXiv 2017年
作者: Gravina, Daniele Liapis, Antonios Yannakakis, Georgios N. Institute of Digital Games University of Malta Msida2080 Malta
—Inspired by the notion of surprise for unconventional discovery we introduce a general search algorithm we name surprise search as a new method of evolutionary divergent search. Surprise search is grounded in the di... 详细信息
来源: 评论
Using Free Cloud Storage Services For Distributed evolutionary algorithms  11
Using Free Cloud Storage Services For Distributed Evolutiona...
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13th Annual Genetic and evolutionary Computation Conference (GECCO)
作者: Arenas, Maribel G. Merelo, Juan-Julian Castillo, Pedro Laredo, Juan-Luis J. Romero, Gustavo Mora, Antonio M. Univ Granada Dept Comp Architecture & Technol ETSIIT E-18071 Granada Spain
Cloud computing, in general, is becoming part of the toolset that the scientist uses to perform compute-intensive tasks. In particular, cloud storage is an easy and convenient way of storing files that will be accessi... 详细信息
来源: 评论
The role of crossover operator in evolutionary-based approach to the problem of genetic code optimization
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BIOSYSTEMS 2016年 150卷 61-72页
作者: Blazej, Pawel Wnetrzak, Malgorzata Mackiewicz, Pawet Univ Wroclaw Fac Biotechnol Dept Genom Ul Joliot Curie 14a Wroclaw Poland
One of theories explaining the present structure of canonical genetic code assumes that it was optimized to minimize harmful effects of amino acid replacements resulting from nucleotide substitutions and translational... 详细信息
来源: 评论
The N-tuple bandit evolutionary algorithm for automatic game improvement
arXiv
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arXiv 2017年
作者: Kunanusont, Kamolwan Gaina, Raluca D. Liu, Jialin Perez-Liebana, Diego Lucas, Simon M. University of Essex Colchester United Kingdom
This paper describes a new evolutionary algorithm that is especially well suited to AI-Assisted Game Design. The approach adopted in this paper is to use observations of AI agents playing the game to estimate the game... 详细信息
来源: 评论
Fitness-Probability Cloud and a Measure of Problem Hardness for evolutionary algorithms
Fitness-Probability Cloud and a Measure of Problem Hardness ...
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11th European Conference on evolutionary Computation in Combinatorial Optimization
作者: Lu, Guanzhou Li, Jinlong Yao, Xin Univ Birmingham Birmingham B15 2TT W Midlands England Univ Sci & Technol China Hefei Peoples R China
Evolvability is an important feature directly related to problem hardness for evolutionary algorithms (EAs). A general relationship that holds for Evolvability and problem hardness is the higher the degree of evolvabi... 详细信息
来源: 评论
Comparison of Different evolutionary algorithms for Global Supply Chain Optimisation and Parameter Analysis
Comparison of Different Evolutionary Algorithms for Global S...
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IEEE Congress on evolutionary Computation (CEC)
作者: Ibrahimov, Maksud Mohais, Arvind Schellenberg, Sven Michalewicz, Zbigniew Univ Adelaide Sch Comp Sci Adelaide SA 5005 Australia SolveIT Software Pty Ltd Adelaide SA 5000 Australia SolveIT Software Pty Ltd Docklands Vic 3008 Australia Univ Adelaide Sch Comp Sci Adelaide SA Australia
This paper discusses global optimisation from a business perspective in the context of the supply chain operations. A two-silo supply chain was built for experimentation and three approaches were used for global optim... 详细信息
来源: 评论
Circuit Optimization Design Using evolutionary algorithms
Circuit Optimization Design Using Evolutionary Algorithms
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International Conference on Sport Material, Modelling and Simulation
作者: Yan Xuesong Wu Qinghua Hu Chengyu Liang Qingzhong China Univ Geosci Wuhan Sch Comp Sci Wuhan Peoples R China Wuhan Inst Technol Fac Comp Sci & Engn Wuhan Peoples R China
During the space electronic system in carries out the exploratory mission in the deep space, it maybe faced with kinds of violent natural environment, to electric circuit's performance, the volume, the weight and ... 详细信息
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