DocumentCode :
469318
Title :
A Level Structure Based Hybrid Evolutionary Algorithm for the Edge Bisection Problem
Author :
Sharma, Reeti ; Srivastava, Kamal
Author_Institution :
Dayalbagh Educ. Inst., Agra
Volume :
2
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
146
Lastpage :
150
Abstract :
A hybrid evolutionary algorithm for the edge bisection problem of the graphs is proposed in this paper. The algorithm incorporates the idea of simulated annealing into the selection process of the evolution process. An important feature of this algorithm is that it explores the level structures of the graph to partition its vertex set. Experimental tests on benchmark graphs show that the proposed algorithm is able to provide good quality solutions and the results are well comparable with the best known results obtained from the existing techniques.
Keywords :
evolutionary computation; simulated annealing; edge bisection problem; level structure based hybrid evolutionary algorithm; simulated annealing; Ant colony optimization; Benchmark testing; Computational intelligence; Evolutionary computation; Genetic algorithms; Greedy algorithms; Mathematics; Partitioning algorithms; Simulated annealing; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
Type :
conf
DOI :
10.1109/ICCIMA.2007.195
Filename :
4426685
Link To Document :
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