title: Improving vector evaluated particle swarm optimisation using multiple nondominated leaders.
abstract: The vector evaluated particle swarm optimisation (VEPSO) algorithm was previously improved by incorporating nondominated solutions for solving multiobjective optimisation problems. However, the obtained solutions did not converge close to the Pareto front and also did not distribute evenly over the Pareto front. Therefore, in this study, the concept of multiple nondominated leaders is incorporated to further improve the VEPSO algorithm. Hence, multiple nondominated solutions that are best at a respective objective function are used to guide particles in finding optimal solutions. The improved VEPSO is measured by the number of nondominated solutions found, generational distance, spread, and hypervolume. The results from the conducted experiments show that the proposed VEPSO significantly improved the existing VEPSO algorithms.
authors.affiliation: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
authors.forename: Kian Sheng
authors.initials: KS
authors.lastname: Lim
authors.affiliation: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
authors.forename: Salinda
authors.initials: S
authors.lastname: Buyamin
authors.affiliation: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
authors.forename: Anita
authors.initials: A
authors.lastname: Ahmad
authors.affiliation: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
authors.forename: Mohd Ibrahim
authors.initials: MI
authors.lastname: Shapiai
authors.affiliation: Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang, 26600 Pekan, Malaysia.
authors.forename: Faradila
authors.initials: F
authors.lastname: Naim
authors.affiliation: Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
authors.forename: Marizan
authors.initials: M
authors.lastname: Mubin
authors.affiliation: Department of Instrumentation and Control Engineering, Hanbat National University, Daejeon 305-719, Republic of Korea.
authors.forename: Dong Hwa
authors.initials: DH
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D012984:Software