| Article ID: | iaor2007915 |
| Country: | China |
| Volume: | 25 |
| Issue: | 3 |
| Start Page Number: | 24 |
| End Page Number: | 27 |
| Publication Date: | Sep 2005 |
| Journal: | Mathematical Theory and Applications |
| Authors: | Wang Jun, Zhang Bo, Li Xuequan |
| Keywords: | programming: multiple criteria |
Combining genetic algorithm with local search, a hybrid genetic algorithm for multi-objective optimization is proposed in this paper. Compared with Pareto genetic algorithm, the algorithm put forward in this paper can improve the optimal efficiency of Pareto genetic algorithm and ensure satisfactory solutions for decision-making. The efficiency of the proposed method is proved by both theory and experiments.