Genetic Algorithm Performance with Different Replacement Strategies in Solving Dejong Function |
Author(s): |
| Munish Sharma , YMCA UNIVERSITY OF SCIENCE AND TECHNOLOGY; Pradeep Kumar Dimri, YMCA UNIVERSITY OF SCIENCE AND TECHNOLOGY |
Keywords: |
| Genetic Algorithm, Selection, Weak Parent Replacement, Random Replacement |
Abstract |
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A genetic algorithms is an evolutionary algorithm which can be used in many optimization problems. De jong function is one of major optimization problems which is used for optimization. Genetic algorithm has many operator i.e. initialization, selection, crossover, mutation, replacement. A good replacement method can provide a optimize value of any function. In this paper two replacement methods are implemented on dejong function and result has been compared. |
Other Details |
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Paper ID: IJSRDV3I21133 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 2112-2114 |
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