Application of Chaos Mind Evolutionary Algorithm in Antenna Arrays Synthesis

Abstract

Mind evolutionary algorithm (MEA) uses ‘similartaxis’ operation and ‘dissimilation’ operation to imitate the human mind evolution to processes optimization, overcoming the prematurity and improving searching efficiency. But it has several defects: the generation of the initial population is blind, random and redundant; the addition of naturally washed out temporary subpopulations is monotonous; existing searching modes easily to fall into local convergence. This paper proposed Chaos Mind Evolutionary Algorithm.  Two chaotic sequences produced in different ways bring adequate diversity to the population. As a result, the searching area is widened. Chaotic Mind Evolutionary Algorithm is used in antenna array synthesis in this paper. Computer simulations show that Chaos Mind Evolutionary Algorithm can be applied in optimization problems of uniformly-spaced linear array and the optimization result is better than that obtained from Genetic Algorithm.