Paper Info
Title
Robust optimization using multi-objective particle swarm optimization
Abstract
This article proposes an algorithm to search for solutions which are robust against small perturbations in design variables. The proposed algorithm formulates robust optimization as a bi-objective optimization problem, and fi nds solutions by multi-objective particle swarm optimization (MOPSO). Experimental results have shown that MOPSO has a better performance at fi nding multiple robust solutions than a previous method using a multi-objective genetic algorithm.
Year
DOI
Venue
2009
10.1007/s10015-009-0647-4
Artificial Life and Robotics
Keywords
DocType
Volume
particle swarm optimization · robust solution search · multi-objective optimization · swarm intelligence · genetic algorithm,Particle swarm optimization,Robust solution search,Multi-objective optimization,Swarm intelligence,Genetic algorithm
Journal
14
Issue
ISSN
Citations 
2
1614-7456
2
PageRank 
References 
Authors
0.37
5
3
Name
Order
Citations
PageRank
Satoshi Ono121939.83
Yohei Yoshitake220.37
Shigeru Nakayama37516.14