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https://dspace.iiti.ac.in/handle/123456789/4744
Title: | Selection of efficient crossover operator in Metaheuristic approach for 2D strip packing |
Authors: | Thomas, Jaya Chaudhari, Narendra S. |
Keywords: | Combinatorial optimization problems;Comparative studies;Crossover;Meta-heuristic approach;Metaheuristic;Strip packing;Strip packing problem;Suboptimal solution;Combinatorial optimization;Cybernetics;Genetic algorithms;Statistical tests |
Issue Date: | 2013 |
Citation: | Thomas, J., & Chaudhari, N. S. (2013). Selection of efficient crossover operator in metaheuristic approach for 2D strip packing. Paper presented at the Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, 415-420. doi:10.1109/SMC.2013.77 |
Abstract: | The use of heuristics and metaheuristic approach has grown rapidly in solving combinatorial optimization problems as they provide an optimal or a sub optimal solution in reasonable time. In this paper, we proposed a metaheuristic approach to solve 2D-Strip packing problem. We have also carried out a comparative study with a pool of crossover operators to find the best coupled one with our approach. The exhaustive testing on a benchmark dataset shows the efficiency of the approach is to solve large instances in reasonable time. Amongst the various crossover operators used maximal preservative crossover is found to be most suitable. The conclusion is supported by the extensive testing on several instances from the literature. © 2013 IEEE. |
URI: | https://doi.org/10.1109/SMC.2013.77 https://dspace.iiti.ac.in/handle/123456789/4744 |
ISBN: | 9780769551548 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Computer Science and Engineering |
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