PSO FOR MULTI-OBJECTIVE PROBLEMS: CRITERIA FOR LEADER SELECTION AND UNIFORMITY DISTRIBUTION

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MOTAMENI H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING Year:2016 | Volume:4 | Issue:1 Page(s): 67-76

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Title

PSO FOR MULTI-OBJECTIVE PROBLEMS: CRITERIA FOR LEADER SELECTION AND UNIFORMITY DISTRIBUTION

Author(s)

MOTAMENI H. | Issue Writer Certificate

Keywords

MULTI-OBJECTIVE OPTIMIZATIONQ1

PARTICLE SWARM OPTIMIZATIONQ3

INTENSITY DISTANCEQ2

MUTATIONQ2

Abstract

This paper proposes a method to solve multi-objective problems using improved PARTICLE SWARM OPTIMIZATION. We propose leader particles which guide other particles inside the problem domain. Two techniques are suggested for selection and deletion of such particles to improve the optimal solutions. The first one is based on the mean of the m optimal particles and the second one is based on appointing a leader particle for any n founded particles. We used an intensity criterion to delete the particles in both techniques. The proposed techniques were evaluated based on three standard tests in multi-objective evolutionary optimization problems. The evaluation criterion in this paper is the number of particles in the optimal-Pareto set, error, and uniformity. The results show that the proposed method searches more number of optimal particles with higher intensity and less error in comparison with basic MOPSO and SIGMA and CMPSO and NSGA-II and microGA and PAES and can be used as proper techniques to solve MULTI-OBJECTIVE OPTIMIZATION problems.

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APA: Copy

MOTAMENI, H.. (2016). PSO FOR MULTI-OBJECTIVE PROBLEMS: CRITERIA FOR LEADER SELECTION AND UNIFORMITY DISTRIBUTION. JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING, 4(1), 67-76. SID. https://sid.ir/paper/255383/en

Vancouver: Copy

MOTAMENI H.. PSO FOR MULTI-OBJECTIVE PROBLEMS: CRITERIA FOR LEADER SELECTION AND UNIFORMITY DISTRIBUTION. JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING[Internet]. 2016;4(1):67-76. Available from: https://sid.ir/paper/255383/en

IEEE: Copy

H. MOTAMENI, “PSO FOR MULTI-OBJECTIVE PROBLEMS: CRITERIA FOR LEADER SELECTION AND UNIFORMITY DISTRIBUTION,” JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING, vol. 4, no. 1, pp. 67–76, 2016, [Online]. Available: https://sid.ir/paper/255383/en

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