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Title

An Immune Evolution Multiobjective Algorithm

Author

Chen Guangzhu, Li Zhishu, Cheng zhiHong, Zhai yusheng

Vol. 6  No. 1  pp. 91~98

Abstract

In this paper, we propose an algorithm to solve multiobjective optimization problems based on the lifecycle of immune cells (LICA). It is characterized by a) basing on the Pareto domination definition, b) storing Pareto-optimal solutions in a continuously updated memory cells population, c) keeping the stand-off of the system based on the immune network, and d) preserving population diversity using a novel neighbor crowded algorithm with low complexity. The simulation results show that the convergence and diversity performance of LICA is better than the strength-Pareto EA (SPEA).

Keywords

Artificial immune system, Multiobjective optimization, Lifecycle of immune cells, Neighbor crowded algorithm, Convergence metric, Diversity metric

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