Tao Zhao and Xin Wang
A Multiobjective Fuzzy Optimization Method of Resource Input Based on Genetic Algorithm
417 - 421
2010
4
9
International Journal of Environmental and Ecological Engineering
https://publications.waset.org/pdf/4492
https://publications.waset.org/vol/45
World Academy of Science, Engineering and Technology
With the increasing complexity of engineering
problems, the traditional, singleobjective and deterministic
optimization method can not meet peoples requirements. A
multiobjective fuzzy optimization model of resource input is built for
M chloralkali chemical ecoindustrial 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 singleobjective
optimization method is more practical and efficient.
Open Science Index 45, 2010