International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 93 - Number 11 |
Year of Publication: 2014 |
Authors: Poonam Sharma, Amit Wadhwa, Komal |
10.5120/16256-5714 |
Poonam Sharma, Amit Wadhwa, Komal . Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm. International Journal of Computer Applications. 93, 11 ( May 2014), 1-3. DOI=10.5120/16256-5714
Genetic algorithm is a population based an adaptive search and optimizations techniques and genetic mimic the natural evolution process. The Genetic operators include selection, crossover and mutation. The aim to present this paper is it gives comparative selection strategies for solving an optimization problem in genetic algorithm and evaluates their performance.