@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},