关于杂合遗传算法的研究

Studies on Hybrid Genetic Algorithms

基于遗传算法的杂合系统是将遗传算法引入已有的系统算法、启发式优化策略以及领域知识获取与优化等问题时，所产生的一种新型的综合性算法结构设计策略．本文对遗传算法与神经网络、遗传算法与模糊逻辑。

Hybrid systems based on genetic algorithms is a new methodology to reform and promoting genetic algorithms in theory and application. It integrates GAs with existing well done methods and algorithms for optimization problems, such as optimization heuristics, domain knowledge acquisition etc.. This paper studies three sorts of hybrid systems, and analyses the characteristics and performance of GAs hybridized with Neural Networks, Fuzzy Logic and Expert System. 