A Hybrid Vector Artificial Physics Optimization with One-Dimensional Search Method

The direction of each individual velocity vector is very useful information for search in Artificial Physics Optimization (APO) algorithm. APO´s simple way to dealing with the errant individual exceeded the lower or upper bounds constrains changes the direction of its motion vector. A shrinkage coefficient is introduced to ensure that each individual is within the decision space without changing its direction. One-dimensional search method is merged into the vector model of APO (VM-APO) to improve its local search capability. The simulation results confirm that the performance of the hybrid vector APO with one-dimensional search method is effective.