Goal oriented ranking scheme

A. R. Khaparde, A. Mokhade, P. D. Dahiwale
2010 Proceedings of the International Conference and Workshop on Emerging Trends in Technology - ICWET '10  
Evolutionary algorithms (EAs) have received a lot of interest in last two decade due to the ease of handling the multiple objectives. But one of criticism of EAs is lack of efficient and robust generic method to handle the constraints. One way to handle the constraint is use the penalty method .in this paper we have proposed a method to find the objective when the decision maker (DM) has to achieve the certain goal. The method is variant of multi objective real coded Genetic algorithm inspired
more » ... y penalty approach. It is evaluated on eleven different single and multi objective problems found in literature. The result show that the proposed method perform well in terms of efficiency, and it is robust for a majority of test problem
doi:10.1145/1741906.1742019 dblp:conf/icwet/KhapardeMD10 fatcat:umkz7rhokfh3tawg7q2xmn4rqa