TY - JFULL AU - Tao Zhao and Xin Wang PY - 2010/10/ TI - A Multi-objective Fuzzy Optimization Method of Resource Input Based on Genetic Algorithm T2 - International Journal of Environmental and Ecological Engineering SP - 416 EP - 421 VL - 4 SN - 1307-6892 UR - https://publications.waset.org/pdf/4492 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 45, 2010 N2 - 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. ER -