Immune Clone Algorithm Convergence and its Application in Path Planning
LIU Yang
HUANG Jin-ying
Abstract：This paper simulates the process of biological immune and establishes the mathematical model of immune clone algorithm. Through theory of random processes , the population sequence of markov that consist of immune clone algorithm has the nature of ergodicity and convergence can be conclude. Through the simulation experiment, we can conclude the immune clone algorithm is better than general genetic algorithm in the ability to keep the diversity of local and global solution of the search.
Keywords：Markov chainImmune clone algorithmProbability convergenceThe simulation experiment
Publication Date：2014-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：4( 75-77,106 )