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Optimal Web Service Selection based on Multi-Objective Genetic Algorithm

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2 Author(s)
Junli Wang ; Eng. Res. Center of Enterprise Digital Technol., Minist. of Educ. Tongji Univ., Shanghai ; Yubing Hou

Considering that there are three aspects of constrains in the service selection process, such as control structure within a composition plan, relationship between concrete services, and tradeoff among multiple QoS indexes, a QoS based optimal Web services selection method by multi-objective genetic algorithm is presented. First we design a chromosome coding method to represent a feasible service selection solution, and then develop genetic operators and strategies for maintaining diversity of population and avoiding getting trapped in local optima. Experimental results show that within a finite number of evolving generations this algorithm can generate a set of nondominated Pareto optimal sol.utions which satisfy to user's QoS requirements.

Published in:

Computational Intelligence and Design, 2008. ISCID '08. International Symposium on  (Volume:1 )

Date of Conference:

17-18 Oct. 2008