An Improved Multi-objective Population Migration Optimization Algorithm

Author

Zhao, Qian ; Liu, Xueying

Author_Institution

Coll. of Sci., Inner Mongolia Univ. of Technol., Hohhot, China

fYear

2011

fDate

22-23 Oct. 2011

Firstpage

143

Lastpage

146

Abstract

The population migration algorithm is a very effective evolutionary algorithm to solve optimization problem, but there are little application in solving the multi-objective optimization problem. On the basis of vector evaluated method and Dynamic Weighted Aggregation combined those advantage, this paper presents a population migration algorithm based on vector evaluated method and Dynamic Weighted Aggregation for multi-objective optimization problems. At the same time, this paper population flow approach, which can more effective in local search. Experimental results show the algorithm is feasible.

Keywords

evolutionary computation; dynamic weighted aggregation; evolutionary algorithm; improved multi objective population migration optimization algorithm; population flow approach; Educational institutions; Evolutionary computation; Genetic algorithms; Heuristic algorithms; Pareto optimization; Vectors; Dynamic Weighted Aggregation; population flow approach; population migration algorithm; vector evaluated method;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence Information Processing and Trusted Computing (IPTC), 2011 2nd International Symposium on

Conference_Location

Hubei

Print_ISBN

978-1-4577-1130-5

Type

conf

DOI

10.1109/IPTC.2011.43

Filename

6103557