DocumentCode
2873801
Title
A Multi-objective Genetic Algorithm Based on Simulated Annealing
Author
Tang Xin-Hua ; Chang Xu ; Fang Zhi-Feng
Author_Institution
Dept. of Inf. Sci. & Technol., Shandong Univ. of Political Sci. & Law, Jinan, China
fYear
2012
fDate
2-4 Nov. 2012
Firstpage
413
Lastpage
416
Abstract
Combined the characteristic of simulated annealing, we propose a multi-objective genetic algorithm based on simulated annealing. We take the advantage of simulated annealing, improve the traditional multi-objective genetic algorithm, and avoid the premature convergence of the algorithm. Experimental results show that the improved algorithm improve the solution efficiency of the traditional multi-objective genetic algorithm, and avoid the premature convergence of the algorithm effectively.
Keywords
genetic algorithms; simulated annealing; multiobjective genetic algorithm; premature convergence; simulated annealing; Algorithm design and analysis; Convergence; Genetic algorithms; Linear programming; Simulated annealing; Sociology; Multi-objective genetic algorithm; Simulated annealing algorithm; genetic algorithm; non-inferior solution;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-3093-0
Type
conf
DOI
10.1109/MINES.2012.34
Filename
6405711
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