Title :
A Line-up Competition Differential Evolution Algorithm for the Generalized Assignment Problem
Author :
Li-Xiao, Ma ; Zhan-fang, Zhao ; Shu-qing, Chen
Author_Institution :
Dept. of Comput. Sci., Shijiazhuang Univ. of Econ., Shijiazhuang, China
Abstract :
This paper considers the generalized assignment problem (GAP). It is well-known NP-hard combinatorial optimization problem that is interesting in itself and also appears as a sub problem in other problems of practical importance. Line-up competition Differential Evolution algorithm for the GAP is proposed. The algorithm uses integer-coding structure, and introduces the idea of line-up competition. The experimental results indicates that, compared with other algorithms, this algorithm has the characteristics of quick convergence speed, of falling into local optimization rarely and of powerful optimization-searching ability and this algorithm can solve GAP effectively.
Keywords :
computational complexity; evolutionary computation; optimisation; search problems; NP-hard combinatorial optimization problem; generalized assignment problem; integer-coding structure; line-up competition differential evolution algorithm; optimization-searching ability; Algorithm design and analysis; Computational modeling; Convergence; Encoding; Evolutionary computation; Genetic algorithms; Optimization; Differential Evolution; generalized assignment problem; integer coding; line-up competition;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.16