Citation
Varnamkhasti, Mohammad Jalali and Lee, Lai Soon
(2012)
A fuzzy genetic algorithm based on binary encoding for solving multidimensional knapsack problems.
Journal of Applied Mathematics, 2012 (703601).
pp. 1-23.
ISSN 1110-757X; ESSN:1687-0042
Abstract
The fundamental problem in genetic algorithms is premature convergence, and it is strongly related to the loss of genetic diversity of the population. This study aims at proposing some techniques to tackle the premature convergence by controlling the population diversity. Firstly, a sexual selection mechanism which utilizes the mate chromosome during selection is used. The second technique focuses on controlling the genetic parameters by applying the fuzzy logic controller. Computational experiments are conducted on the proposed techniques and the results are compared with other genetic operators, heuristics, and local search algorithms commonly used for solving multidimensional 0/1 knapsack problems published in the literature.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science Institute for Mathematical Research |
| DOI Number: | https://doi.org/10.1155/2012/703601 |
| Publisher: | Hindawi Publishing Corporation |
| Keywords: | Genetic algorithm; Sexual selection; Crossover; Mutation; Fuzzy logic; Knapsack problems |
| Depositing User: | Nur Farahin Ramli |
| Date Deposited: | 26 Nov 2013 01:35 |
| Last Modified: | 30 Jun 2016 05:22 |
| URI: | http://psasir.upm.edu.my/id/eprint/25267 |
| Statistic Details: | View Download Statistic |
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