A genetic algorithm (GA) is a stochastic global optimization technique which simulates natural evolution process, and it has been widely employed in the modeling and optimization problems of chemical engineering processes. But GA has weak local searching ability and tends to premature. Furthermore, the binary encoding method cannot represent the abundant genetic information and reflect the organism control function of genetic information in its computing model, especially the function of the DNA encoding me...
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