Improved Multi-objective Genetic Algorithm Based on Parallel Hybrid Evolutionary Theory
نویسندگان
چکیده
منابع مشابه
Improved Multi-objective Genetic Algorithm Based on Parallel Hybrid Evolutionary Theory
Based on the analysis on the basic principles and characteristics of the existing multiobjective genetic algorithm (MOGA), an improved multi-objective GA with elites maintain is put forward based on non-dominated sorting genetic algorithm (NSGA). NSGA-II algorithm theory and parallel hybrid evolutionary theory is described in detail. The design principle, process and detailed implementations of...
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ژورنال
عنوان ژورنال: International Journal of Hybrid Information Technology
سال: 2015
ISSN: 1738-9968
DOI: 10.14257/ijhit.2015.8.1.11