An Improved Population Migration Algorithm for Solving Multi-Objective Optimization Problems

DOI

10.1080/18756891.2012.733232How to use a DOI?

Keywords

population migration algorithm, multi-objective optimization, vector-evaluated method, dynamic weighted aggregation, population flow mode

Abstract

The population migration algorithm is a very effective evolutionary algorithm for solving single-objective optimization problems, but very few applications are available for solving multi-objective optimization problems (MOPs). The current study proposes an improved population migration algorithm for solving MOPs based on the vector evaluated method and the dynamic weighted aggregation. The local search ability of the improved algorithm is greatly increased by using the population flow mode. The convergence of the improved algorithm is also proven. Performance metrics and experimental test results show that the improved algorithm is very feasible and effective for solving MOPs.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - JOUR
AU  - Qian Zhao
AU  - Xueying Liu
AU  - Shujun Wei
PY  - 2012
DA  - 2012/09/01
TI  - An Improved Population Migration Algorithm for Solving Multi-Objective Optimization Problems
JO  - International Journal of Computational Intelligence Systems
SP  - 933
EP  - 941
VL  - 5
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.733232
DO  - 10.1080/18756891.2012.733232
ID  - Zhao2012
ER  -