The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-193
Full Name: Ritchie mae Gamot
Position: Assistant Professor
Age: ON
Sex: Female
Address: 72 emilio jacinto street, davao city
Country: PHILIPPINES
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E-mail address: ariane43981@gmail.com
Other E-mails: ariane43981@yahoo.com
Title of the Paper: particle swarm optimization â€" tabu search approach to constrained engineering optimization problems
Authors as they appear in the Paper: Ritchie Mae Gamot Armacheska Mesa
Email addresses of all the authors: ariane43981@gmail.com,arma_cheska@yahoo.com
Number of paper pages: 10
Abstract: Constraint handling is one of the most difficult parts encountered in practical engineering design optimizations. Different kinds of methods were proposed for handling constraints namely, genetic algorithm, self-adaptive penalty approach and other evolutionary algorithms. Particle Swarm Optimization (PSO) efficiently solved most nonlinear optimization problems with inequity constraints. This study hybridizes PSO with a meta-heuristic algorithm called Tabu Search (TS) to solve the same engineering design problems. The algorithm starts with a population of particles or solution generated randomly and is updated using the update equations of PSO. The updated particles are then subjected to Tabu Search for further refinement. The PSO algorithm handles the global search for the solution while TS facilitates the local search. With embedded hyrbridization, this study which we call PSO-TS, showed better results compared to algorithms reported in Hu et al's study as applied!
to four benchmark engineering problems. Specifically, this study beat the results of Coello, Deb and Hu.
Keywords: Constrained engineering optimization problems, Particle swarm optimization,Tabu search
EXTENSION of the file: .rtf
Special (Invited) Session: particle swarm optimization â€" tabu search approach to constrained engineering optimization problems
Organizer of the Session: 554-157
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