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- W2349804922 abstract "The optimal planning of industrial pollutant sources is a complicated non-linear optimum control problem object to partial differential equations. The genetic algorithm,a kind of new method for optimization has been used in many fields to solve optimization problems.In this paper,penalty function is introduced to deal with environmental inequality constrains,an appropriate method of coding as well as fitness function is chosen, and the genetic algorithm is applied to solve the optimal problem.The validation and efficiency of genetic algorithms is verified through numerical experiments.Furthermore,this kind of genetic algorithm is robust as well as naturally parallel,and it can adapt to various of object functions and air quality models.All these good features make genetic algorithm broad prospect in the field of environment." @default.
- W2349804922 created "2016-06-24" @default.
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- W2349804922 date "2003-01-01" @default.
- W2349804922 modified "2023-09-27" @default.
- W2349804922 title "Genetic Algorithm to Optimize Planning of Industrial Pollutant Sources" @default.
- W2349804922 hasPublicationYear "2003" @default.
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