@article{(Open Science Index):https://publications.waset.org/pdf/14568, title = {An Innovative Fuzzy Decision Making Based Genetic Algorithm}, author = {M. A. Sharbafi and M. Shakiba Herfeh and Caro Lucas and A. Mohammadi Nejad}, country = {}, institution = {}, abstract = {Several researchers have proposed methods about combination of Genetic Algorithm (GA) and Fuzzy Logic (the use of GA to obtain fuzzy rules and application of fuzzy logic in optimization of GA). In this paper, we suggest a new method in which fuzzy decision making is used to improve the performance of genetic algorithm. In the suggested method, we determine the alleles that enhance the fitness of chromosomes and try to insert them to the next generation. In this algorithm we try to present an innovative vaccination in the process of reproduction in genetic algorithm, with considering the trade off between exploration and exploitation.}, journal = {International Journal of Electrical and Computer Engineering}, volume = {2}, number = {7}, year = {2008}, pages = {1493 - 1496}, ee = {https://publications.waset.org/pdf/14568}, url = {https://publications.waset.org/vol/19}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 19, 2008}, }