A Hybrid Vector Artificial Physics Optimization with Multi-dimensional Search Method

Abstract

Artificial physics optimization algorithm (APO) is a new swarm intelligence algorithm to solve global optimization problem based on Physicomimetics framework. An n order diagonal matrix of shrinkage coefficient is introduced to ensure that each individual is within the decision space. Multi-dimensional search method is merged into the vector model of APO to improve the local exploitation capability of vector APO. The simulation results confirm that the performance of the hybrid vector APO with multi-dimensional search method is effective.