Interactive genetic algorithm based on customer demand
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    Abstract:

    To solve the problem of evaluation noise in the interactive genetic algorithm ( IGA) ,the concept of hesitancy degree is put forward,hesitancy degree adjustment mechanism is set up,and the deletion strategy and modification strategy are applied to handle the unsatisfied individuals generated in the process of initial population generation,crossover and mutation. By emulating the concept design of car console,the interactive interface with humanization is established to validate the advance and rationality of the method system brought forward in the paper. The experiment shows that the IGA can effectively reduce the evaluation noise,speed up the convergence,lower the fatigue degree and increase users’satisfaction about the result.

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  • Online: April 22,2018
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