Improve micro genetic algorithm for multiobjective kursawe function and low pass filter circuit design optimization
Although Evolutionary Algorithms (EAs) have been widely implemented for solving Multiobjective Optimization Problems (MOPs), the convergence of EAs towards Pareto optimal front is still an issue of concern. In order to enhance the robustness of EAs, hybrid algorithms are commonly developed to ident...
Saved in:
格式: | Thesis |
---|---|
语言: | English |
主题: | |
在线阅读: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72831/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72831/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72831/4/Lim%20Wei%20Jer.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
由: Md. Jude, Marleyana
出版: (2005) -
Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
由: Zahid, Zuhaili
出版: (2008) -
Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
由: Awang Ahmed, Rohana
出版: (2000) -
Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
由: Sahar, Zairul Nizam
出版: (2000) -
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab
由: Abd. Wahab, Mohd Syful Adly
出版: (2003)