A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

Xiaolan Wu1* and Guifang Guo2

Abstract

Based on the analysis of the properties of tent map, parallel chaos optimization algorithm (PCOA) using logistic map and outlook algorithm, a hybrid global optimization algorithm (PCOOA) is presented. The algorithm is structured in two stages. The first stage uses parallel chaos optimization based on tent map for global search, while outlook algorithm is employed in the second stage for local search. The simulation results show that the algorithm, with high rate of convergence, optimization efficiency and strong robustness etc., is an effective technique to solve nonlinear programming (NLP) problems.