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Improved multi-objective particle swarm optimization algorithm for service-workflows scheduling

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2 Author(s)
Zhang Xiao-dong ; Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China ; Meng Ling-zhi

Time-cost optimization problem in service-workflows is a hard to solve and widely existing problem in practical systems. In this paper, a improved multi-objective PSO method is proposed. By constructing discrete particles, Outside Population and Meshing method based on Niche Technique are introduced to obtain an evenly distributed Pareto set, Experimental results show that the proposed algorithm is effective and efficient for the considered problem. Many evenly distributed Pareto sets with high quality are obtained for various characteristic instances.

Published in:

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Date of Conference:

26-28 June 2010