摘要
讨论了用进化算法来解决多目标优化问题,提出用一个模糊增强Pareto进化算法FSPEA来解决多目标优化问题,并且通过与其他4种算法所获得的解进行比较来分析FSPEA算法的性能.最后把FSPEA应用到营养分析和决策的优化问题来获求最佳膳食营养结构.结果证明了该算法的有效性.
Multiobjective optimization problems solved by evolutionary algorithms were discuss. We present a Fuzzy Strength Pareto Evolutionary Algorithm （FSPEA） to solve this class of problems and its performance is analyzed in comparing its results with those obtained with four others algorithms. Finally, the FSPEA is applied to solve the nutrition decision making to map the Pareto-optimum front. The results in the problem show its effectiveness.
出处
《河南工业大学学报（自然科学版）》
CAS
北大核心
2006年第5期62-65,共4页
Journal of Henan University of Technology：Natural Science Edition
基金
河南省重点科技攻关项目(0423020400)
关键词
多目标进化算法
非支配分类遗传算法
营养决策
multiobjective evolutionary algorithms
nondominated sorting genetic algorithms
nutrition decisionmaking
