@article{(Open Science Index):https://publications.waset.org/pdf/5118, title = {Development of Heterogeneous Parallel Genetic Simulated Annealing Using Multi-Niche Crowding}, author = {Z. G. Wang and M. Rahman and Y. S. Wong and K. S. Neo}, country = {}, institution = {}, abstract = {In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from local optima. The concept of hierarchical parallel GA is employed to parallelize GSA for the optimization of multimodal functions. In addition, multi-niche crowding is used to maintain the diversity in the population of the parallel GSA (PGSA). The performance of the proposed algorithms is evaluated against a standard set of multimodal benchmark functions. The multi-niche crowding PGSA and normal PGSA show some remarkable improvement in comparison with the conventional parallel genetic algorithm and the breeder genetic algorithm (BGA).}, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {10}, year = {2007}, pages = {3096 - 3103}, ee = {https://publications.waset.org/pdf/5118}, url = {https://publications.waset.org/vol/10}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 10, 2007}, }