@article{(Open Science Index):https://publications.waset.org/pdf/4492,
	  title     = {A Multi-objective Fuzzy Optimization Method of Resource Input Based on Genetic Algorithm},
	  author    = {Tao Zhao and  Xin Wang},
	  country	= {},
	  institution	= {},
	  abstract     = { With the increasing complexity of engineering
problems, the traditional, single-objective and deterministic
optimization method can not meet people-s requirements. A
multi-objective fuzzy optimization model of resource input is built for
M chlor-alkali chemical eco-industrial park in this paper. First, the
model is changed into the form that can be solved by genetic algorithm
using fuzzy theory. And then, a fitness function is constructed for
genetic algorithm. Finally, a numerical example is presented to show
that the method compared with traditional single-objective
optimization method is more practical and efficient.},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {4},
	  number    = {9},
	  year      = {2010},
	  pages     = {417 - 421},
	  ee        = {https://publications.waset.org/pdf/4492},
	  url   	= {https://publications.waset.org/vol/45},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 45, 2010},