摘要
基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,鉴于决策者事先对于各目标的重要性一般只有模糊的认识,文中对各目标进行了模糊化处理,构造了适应值函数,提出了基于模糊逻辑的多目标优化问题遗传算法求解方案.
Genetic algorithms based on colony searching are especially suitable tor solving multi-objecuve optimization problems. Whereas decision-making people only have fuzzy cognition to each objective＇s importance in advance, By fuzzy disposing each objective and constructing fitness function, the paper put forward the approach to solving multi-objective optimization problems applying genetic algorithm based on fuzzy logic.
出处
《河南科学》
2006年第4期482-484,共3页
Henan Science
基金
广州航海高等专科学校自然科学研究基金项目(200612B04)
关键词
模糊逻辑
多目标优化问题
遗传算法
fuzzy logic
multi-objective optimization
genetic algorithm
