An Efficient Algorithm of Discrete Particle Swarm Optimization for Multi-Objective Task Assignment

Nannan QIAO
Jiali YOU
Yiqiang SHENG
Jinlin WANG
Haojiang DENG

IEICE TRANSACTIONS on Information and Systems   Vol.E99-D    No.12    pp.2968-2977
Publication Date: 2016/12/01
Publicized: 2016/08/24
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016PAP0032
Type of Manuscript: Special Section PAPER (Special Section on Parallel and Distributed Computing and Networking)
Category: Distributed system
task assignment,  multi-objective,  discrete particle swarm optimization,  two-stage method,  

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In this paper, a discrete particle swarm optimization method is proposed to solve the multi-objective task assignment problem in distributed environment. The objectives of optimization include the makespan for task execution and the budget caused by resource occupation. A two-stage approach is designed as follows. In the first stage, several artificial particles are added into the initialized swarm to guide the search direction. In the second stage, we redefine the operators of the discrete PSO to implement addition, subtraction and multiplication. Besides, a fuzzy-cost-based elite selection is used to improve the computational efficiency. Evaluation shows that the proposed algorithm achieves Pareto improvement in comparison to the state-of-the-art algorithms.