Skip to Main Content
For multi-objective optimization problems, we introduced IPAGA (Improved Parallel Adaptive Genetic Algorithm) in this paper, a new parallel genetic algorithm which is based on Pareto Front. In this Algorithm, the non-dominated-set is constructed by the method of exclusion. The evolution population adopts the adaptive-crossover and adaptive-mutation probability, which can adjust the search scope according to solution quality. The results show that the parallel genetic algorithm developed in this paper is efficient.
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on (Volume:2 )
Date of Conference: Nov. 30 2009-Dec. 1 2009