二種類の記憶機構を導入した適応的免疫アルゴリズムの提案と評価

概要

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The immune system is one of the adaptive biological systems whose functions are to identify and to eliminate foreign material. Applying this system to the engineering problems, these processes are regarded as an effective search and optimization. In this paper, we propose an optimization algorithm, called Adaptive Memorizing Immune Algorithm(AMIA), based on an immune system with two memory mechnisms. The one, primary memory mechnism is msed 1)to memorize antibodies that have useful characteristics as solutions and 2)to improve ability of local searching. The other, secondary memory mechanism is used to restrain re-searching of memorized solutions. Some computer simulations are designed to investigate the performance of the immune algorithm. The results of simulations represent that the immune algorithm shows good performance for multimodal functions.
社団法人人工知能学会の論文
2000-11-01