| Article ID: | iaor20071464 |
| Country: | China |
| Volume: | 27 |
| Issue: | 4 |
| Start Page Number: | 718 |
| End Page Number: | 719 |
| Publication Date: | Apr 2005 |
| Journal: | Chinese Journal of Systems Engineering and Electronics |
| Authors: | Liu Fuxian, Yuan Liwei, Zhao Baojun |
| Keywords: | heuristics: genetic algorithms |
An improved genetic algorithm is introduced and its procedure is provided in detail. The algorithm provides the chromosome with more information and ensures convergence by using binary chromosomes and expressing alleles with the probability of the gene in different states. The chromosome is evolved through rotation. Global search capability and convergence speed are improved. The effectiveness of the improved approach is demonstrated based on its application to knapsack problem.