An Improved PSO Algorithm for Interval Multi-Objective Optimization Systems

Yong ZHANG  Wanqiu ZHANG  Dunwei GONG  Yinan GUO  Leida LI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.9   pp.2381-2384
Publication Date: 2016/09/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8052
Type of Manuscript: LETTER
Category: Fundamentals of Information Systems
Keyword: 
interval,  multi-objective,  particle swarm,  crowding distance,  

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Summary: 
Considering an uncertain multi-objective optimization system with interval coefficients, this letter proposes an interval multi-objective particle swarm optimization algorithm. In order to improve its performance, a crowding distance measure based on the distance and the overlap degree of intervals, and a method of updating the archive based on the acceptance coefficient of decision-maker, are employed. Finally, results show that our algorithm is capable of generating excellent approximation of the true Pareto front.