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http://hdl.handle.net/11718/20254| Title: | Incorporating gender and age in genetic algorithms to solve the indexing problem |
| Authors: | Ghosh, Diptesh |
| Keywords: | Genetic algorithm;Permutation problem;Crossover;Mutation |
| Issue Date: | 4-Apr-2016 |
| Publisher: | Indian Institute of Management Ahmedabad |
| Series/Report no.: | W.P.;2016-03-32 |
| Abstract: | In this paper we propose new genetic algorithms for the tool indexing problem. Genetic algorithms are said to be nature-inspired, in that they are modeled after the natural process of genetic evolution. The evolution process that they model is asexual in which individuals can potentially live forever. In this paper, we propose a genetic algorithm in which solutions are of two genders, reproduction happens by a combination of solutions with different genders, and each solution has a finite life. We compare our genetic algorithms with the best known genetic algorithm for the tool indexing problem and report our computational experience |
| URI: | http://hdl.handle.net/11718/20254 |
| Appears in Collections: | Working Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| WP_2016_03_32.pdf | WP_2016_3_32 | 239.38 kB | Adobe PDF | View/Open |
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