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A Multi-Objective Fuzzy Optimization Method Of Resource Input Based On Genetic Algorithm
2010
Zenodo
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
doi:10.5281/zenodo.1332368
fatcat:b47xyzjyyjbevec2o2g5g46rva