DocumentCode
2301138
Title
A Modified PSO Algorithm for Constrained Multi-objective Optimization
Author
Li, Lily D. ; Yu, Xinghuo ; Xiaodong Li ; Guo, William
Author_Institution
Sch. of Comput. Sci., CQUniversity, Rockhampton, QLD, Australia
fYear
2009
fDate
19-21 Oct. 2009
Firstpage
462
Lastpage
467
Abstract
This paper presents a modified PSO algorithm for solving constrained multi-objective optimization problems. Based on the constraint dominance concept, the proposed approach defines two sets of selection rules for determining the cognitive and social components of the PSO algorithm. The simulation results to the four constrained multi-objective optimization problems demonstrate the proposed approach is able to find Pareto-optimal solutions effectively.
Keywords
Pareto optimisation; particle swarm optimisation; Pareto-optimal solutions; constrained multi-objective optimization; modified PSO algorithm; particle swarm optimization; Ant colony optimization; Australia; Computer networks; Computer science; Computer security; Constraint optimization; Enterprise resource planning; Information security; Information technology; Testing; Constraint; Multi-objective; Optimization; PSO algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Network and System Security, 2009. NSS '09. Third International Conference on
Conference_Location
Gold Coast, QLD
Print_ISBN
978-1-4244-5087-9
Electronic_ISBN
978-0-7695-3838-9
Type
conf
DOI
10.1109/NSS.2009.72
Filename
5319352
Link To Document