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
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;
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
DOI :
10.1109/NSS.2009.72
