Performance evaluation of self organizing genetic algorithm for multi-objective optimization problems

• المؤلفون الرئيسيون: Ismail, Fatimah Sham, Yusof, Rubiyah, Khalid, Marzuki, Ibrahim, Zuwairie, Selamat, Hazlina
• التنسيق: مقال
• منشور في: ICIC International 2012
• الموضوعات: TK Electrical engineering. Electronics Nuclear engineering
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/31135/; http://www.ijicic.org/el-6(1).htm

Self Organizing Genetic Algorithm (SOGA) uses a weighted-sum fitness assignment approach for solving multi-objective optimization problems. SOGA has been developed based on minimum genetic algorithm (GA) requirement that is easier to implement and customized to other multi-objective problems. This p...