Abstract
In order to balance the impact of population size on the efficiency and effectiveness of the search algorithm,an immune clonal algorithm with self-adaptive population size for multi-modal function optimization problem was proposed.The change rules,magnitude and the detailed realization of population size were given.The change of self-adaptive population size with the evolutionary process was achieved.In addition,in terms of multi-modal function optimization characteristics,Baldwin learning was used as a local search strategy to enhance the search ability for the optimal solution.The experimental results show that the algorithm has better optimization ability,faster convergence and is more stable than existing algorithms.
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