基于自适应危险区域的危险模型免疫算法

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI:10.1109/ICICISYS.2009.5358210

Qingyang Xu, Xianyao Meng, Ning Wang, Chuang Zhang

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引用次数: 2

摘要

危险模型免疫算法(DMIA)是一种基于生物免疫系统危险理论的算法。在基本算法中，危险区域是通过初始设置来确定的。它是影响算法性能的一个重要参数。本文提出了一种自适应危险区域DMIA。根据迭代步骤，危险区域半径逐渐减小。仿真结果表明，自适应危险区域DMIA是有效的，具有较好的优化能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adaptive danger area based Danger Model Immune Algorithm

Danger Model Immune Algorithm(DMIA) is an algorithm based on the danger theory of biological immune system. In the basic algorithm, the danger area is fixed through the initial setting. It is an important parameter which will affect the capability of algorithm. In this paper, propose an adaptive danger area DMIA. The radius of danger area is decrease gradually according to the iteration steps. The simulation results indicate that the adaptive danger area DMIA is valid and has better optimization capability.

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来源期刊

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems

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