1. A novel mutation operator based on the immunity operation
- Author
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Xing, Li-Ning, Chen, Ying-Wu, and Yang, Ke-Wei
- Subjects
Engineering schools -- Analysis ,Engineering schools -- Genetic aspects ,Algorithms -- Analysis ,Algorithms -- Genetic aspects ,Algorithm ,Business ,Business, general ,Business, international - Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ejor.2008.07.024 Byline: Li-Ning Xing (a)(b), Ying-Wu Chen (a), Ke-Wei Yang (a) Keywords: Global optimization; Genetic algorithm; Mutation operator; Immunity operation Abstract: This paper presents a novel mutation operator based on the immunity operation. Also, the selection is integrated into both crossover and mutation operation. Experiments with our approach on many test functions resulted in near-optimal solutions in all cases. In comparison with several other algorithms, our approach achieved improved accuracy. Author Affiliation: (a) Department of Management Science and Engineering, College of Information System and Management, National University of Defense Technology, Changsha 410073, PR China (b) Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK Article History: Received 15 January 2008; Accepted 18 July 2008 Article Note: (footnote) [star] This work was supported by the National Natural Science Foundation of China (No. 70272002), Graduate Student Public Sending Abroad Project for Constructing High-level University of China Scholarship Council, Innovative Foundation for Excellent Graduate Student of National University of Defense Technology.
- Published
- 2009