学术
摘 要:
用进化策略求解多目标优岱问题时，为了保证Pareto前沿的多样性，该文提出了基于拥挤度和分散度的多样性处理方法，在分析基于拥挤距离处理多样性的基础上引入了拥挤度和分散度的概念，当两个个体具有相同的拥挤度时，通过其分散度来判断哪个个体更拥挤，这样能更好地保证解在Pareto前沿的多样性．仿真实验表明，该算法能更好地维持Pareto前沿的多样性。[著者文摘]
文章出处:
《通化师范学院学报》-2008年2期,12 -7-8,12页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1008-7974（2008）02-0007-03
相关文章:
Diverse Processing Method Based on Crowding Degree and Disperson
ZHANG Cheng et al （ Shenyang Institute of Chemical Technology, Shenyang, Liaoning 110142, China）
Abstract:
Using the evolutionary strategy to solve multi - objective optimization problems, in order to maintain the diversity of the pareto front, the paper proposes the diverse processing method based on crowding degree and disperson. The concepts of crowding degree and disperson are induced based on the analysis of the diversity of crowding distance. We can judge which individual is more erowdly through its disperson when two individuals have the same crowding degree, then make sure the diversity of the pareto front. The simulation experiment＇s results show that this algorithm has＇ good performance to maintain the diversity of the pareto front.[著者文摘]
Key words:
evolutionary strategy＇; crowding degree and disperson; diverse processing; multi - objective optimization algorithm
基金资助:
国家自然科学基金资助项目（70271066）.
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