A novel genetic algorithim based on immunity

A novel optimal algorithm, immune genetic algorithm (IGA), is proposed based on the theory of immunity in biology, which constructs an immune operator accomplished by two steps, a vaccination and an immune selection. The detail processes of realizing IGA are presented. The methods of selecting vaccines and constructing an immune operator are also given. IGA is illustrated to be able to restrain the degenerate phenomenon evidently during the evolutionary process with examples of TSP, improve the searching capability and efficiency, therefore increase the convergent speed greatly.

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