期刊
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
卷 84, 期 3, 页码 351-378出版社
WILEY
DOI: 10.1002/nme.2904
关键词
artificial immune systems; constrained optimization; metaheuristics; engineering optimization
资金
- CONACyT [103570]
- Universidad Nacional de San Luis
- Agencia Nacional para promover la Ciencia y Tecnologia (ANPCyT)
In this paper, we present a heuristic inspired on the T-Cell model of the immune system (i.e. an artificial immune system). The proposed approach (called T-Cell) is used for solving constrained (numerical) optimization problems, and is validated using several test functions taken from the specialized literature on evolutionary optimization. Additionally, several engineering optimization problems are also used for assessing the performance of the proposed approach. The results are compared with respect to approaches representative of the state-of-the-art in constrained evolutionary optimization. Copyright (C) 2010 John Wiley & Sons, Ltd.
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