A Multi-objective optimal evolutionary algorithm based on tree-ranking

Autor:	Li Yan, Yan Zhen-yu, Kang Li-shan, Shi Chuan
Rok vydání:	2003
Předmět:	Mathematical optimization Tree (data structure) education.field_of_study Multidisciplinary Tree structure Ranking Population Evolutionary algorithm education Mathematics
Zdroj:	Wuhan University Journal of Natural Sciences. 8:207-211
ISSN:	1993-4998 1007-1202
DOI:	10.1007/bf02899480
Popis:	Multi-objective optimal evolutionary algorithms (MOEAs) are a kind of new effective algorithms to solve Multi-objective optimal problem (MOP). Because ranking, a method which is used by most MOEAs to solve MOP, has some shortcomings, in this paper, we proposed a new method using tree structure to express the relationship of solutions. Experiments prove that the method can reach the Pare-to front, retain the diversity of the population, and use less time.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ad652c853ae45559dbef7d864ac683b9 https://doi.org/10.1007/bf02899480 Zobrazit plný text záznamu Full text from SpringerLink