Title :
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
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;
Conference_Titel :
Intelligence Information Processing and Trusted Computing (IPTC), 2011 2nd International Symposium on
Conference_Location :
Hubei
Print_ISBN :
978-1-4577-1130-5
DOI :
10.1109/IPTC.2011.43