Multiple Learning Immune Optimization Algorithm
ZHANG Weiwei
LIN Jingjing
JING Honglei
LIN Xuejie
Abstract：This paper presents the immune optimization algorithm based on multiple learning OL-CAIS to solve global optimization problems. Chaos optimization theory is proposed to join the immune algorithm, and at the same time we introduced in the algorithm a class of hybrid operator search equation paying more attention to the interactive information of whole group.The search way is redefined and then,through the orthogonal experiment,an orthogonal learning strategy is formed which makes full use of the useful in-formation in the search space and orthogonal design of small sample characteristics, to produce a better generation and ensure the effective of diverse search.
Keywords：artificial immunechaos optimizationhybrid operatororthogonal learning
Publication Date：2016-09-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 424-429 )