Abstract:
This paper is aimed to present a genetic algorithm focusing on the Sexual Selection used the Pareto based approach for solving multi-objective optimization problems. It u...Show MoreMetadata
Abstract:
This paper is aimed to present a genetic algorithm focusing on the Sexual Selection used the Pareto based approach for solving multi-objective optimization problems. It uses a concept of sexual selection with different types of gender and mutation rates based on the sex to produce offspring. Its performance was evaluated by the well-known benchmark functions as well as also tested with a networking requirement application, which is a multi-objective optimization problem. The proposed algorithm could successfully find solutions that meet user’s requirements.
Date of Conference: 17-19 November 2008
Date Added to IEEE Xplore: 30 December 2008
ISBN Information: