A hybrid cuckoo search-genetic algorithm for hole-making sequence optimization-Reference-Cited by-同舟云学术

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A hybrid cuckoo search-genetic algorithm for hole-making sequence optimization

Published:2014-01-23 Issue:2 Volume:27 Page:417-429
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Lim W. C. E.,Kanagaraj G.,Ponnambalam S. G.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-014-0873-z.pdf

Reference48 articles.

1. Arnaout, J. P. (2013). Ant colony optimization algorithm for the euclidean location-allocation problem with unknown number of facilities. Journal of Intelligent Manufacturing, 24, 45–54.

2. Blum, C., & Roli, A. (2003). Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys (CSUR), 35, 268–308.

3. Chandrasekaran, K., & Simon, S. P. (2012). Multi-objective scheduling problem: Hybrid approach using fuzzy assisted cuckoo search algorithm. Swarm and Evolutionary Computation, 5, 1–16.

4. Croes, G. A. (1958). A method for solving traveling-salesman problems. Operations Research, 6, 791–812.

5. Davies, N. B., Bourke, A. F. G., & de L Brooke, M. (1989). Cuckoos and parasitic ants: Interspecific brood parasitism as an evolutionary arms race. Trends in Ecology & Evolution, 4, 274–278.

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