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...
محفوظ في:
التنسيق: | أطروحة |
---|---|
اللغة: | English |
الموضوعات: | |
الوصول للمادة أونلاين: | 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 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
بواسطة: Md. Jude, Marleyana
منشور في: (2005) -
Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
بواسطة: Zahid, Zuhaili
منشور في: (2008) -
Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
بواسطة: Awang Ahmed, Rohana
منشور في: (2000) -
Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
بواسطة: Sahar, Zairul Nizam
منشور في: (2000) -
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab
بواسطة: Abd. Wahab, Mohd Syful Adly
منشور في: (2003)