DocumentCode
2571268
Title
Effect of using partial solutions in edge histogram sampling algorithms with different local searches
Author
Tsutsui, Shigeyoshi
Author_Institution
Dept. of Manage. Inf. Sci., Hannan Univ., Matsubara, Japan
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
2137
Lastpage
2142
Abstract
In previous study, we have proposed EHBSA within the EDA framework for permutation domains, and showed better performance than traditional GAs. The important feature of EHBSA is to use partial solutions from previous generations. In this paper, we analyze the effectiveness of using partial solutions using a wide range of problem sizes, without local search, and incorporating two types of local search. One of the most important finding in this paper is that we were able to confirm that using partial solutions is effective for all cases in which we use no local search, 3-OPT local search, and Lin-Kernighan (LK) local search. Future work for this research is also discussed.
Keywords
genetic algorithms; sampling methods; search problems; travelling salesman problems; 3-OPT local search; EDA framework; Lin-Kernighan local search; edge histogram sampling algorithms; estimation of distribution algorithm; genetic algorithm; local search algorithm; no local search; partial solutions; Cities and towns; Conference management; Cybernetics; Electronic design automation and methodology; Histograms; Information management; Sampling methods; Testing; Traveling salesman problems; USA Councils; 3-OPT; EDA; EHBSA; Genetic Algorithm; Lin-Kernighan heuristic; combining local search; eEHBSA; partial solutions; traveling salesman problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346283
Filename
5346283
Link To Document