- 期刊
Control Parameter Settings in Differential Evolution for Global Optimization Problems
並列摘要
This paper is focused on the control parameter settings in Differential Evolution (DE) for global optimization problems. The issue of controlling values of parameters is one of the most important and promising areas of research in DE. The success of DE in solving global optimization problems crucially depends on choosing and adjusting the associated control parameter values. DE has three control parameters NP (population size), F (scaling factor) and CR (crossover probability) that need to be set or tuned by the user. Thus the main goal of this study is to present an analysis of how control parameters are being changed during the evolutionary process in order to obtain better solutions. We propose a parameter control method based on the adaptation of three control parameters, NP, F and CR, associated with the evolutionary process on global optimization problems. The experimental results indicate that the proposed approach is a viable alternative for dealing with different global optimization problems.
被引用紀錄
延伸閱讀
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