Abstract
By introducing niche ideas based on sharing mechanism into the domain of interactive evolutionary computation, an interactive genetic algorithm based on improved sharing mechanism (ISMIGA) is developed. In the algorithm, the concept of niche entropy and adaptive niche radius is introduced to ensure population diversity, which avoids local converge, improves algorithm efficiency and contributes to balance the defects which are generated when the traditional interactive genetic algorithm deals with the contradiction between maintaining population diversity and accelerating the convergence. The simulation experiment of automobile modeling design shows the proposed algorithm is feasible and effective.
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Liang, C., Cai, M., Lu, Q. (2011). An Interactive Genetic Algorithm Based on Improved Sharing Mechanism for Automobile Modeling Design. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_84
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DOI: https://doi.org/10.1007/978-3-642-23881-9_84
Publisher Name: Springer, Berlin, Heidelberg
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