@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}, }