免疫遗传算法在MATLAB环境中的实现

Realization of immune genetic algorithm in MATLAB

阐述了免疫遗传算法的基本原理,探讨了在MATLAB环境下实现免疫遗传算法中抗原记忆、抗体促进与抑制、抗体多样性保持等功能的方法,并以智能交流接触器优化设计问题为例,说明免疫遗传算法与标准遗传算法相比的优越性及其在MATLAB环境中实现的可行性.

The basic principle of immune genetic algorithm(IGA) is outlined. A method to realize the mechanisms which exists in biological immune system such as antigen memory, antibody encouragement and restraint, antibody diversity-keeping in MATLAB is discussed. An optimal design problem of an intelligent electromagnetic device is taken as an example to demonstrate the feasibility in MATLAB and the advantages of IGA over standard genetic algorithm (SGA).