Title :
A Hybrid Vector Artificial Physics Optimization for Constrained Optimization Problems
Author :
Xie, Liping ; Zeng, Jianchao
Author_Institution :
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
Artificial physics optimization algorithm (APO) is used to solve constrained optimization problem. A 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 ensure that the moving of the whole population is limited in the feasible region. The simulation results confirm that the performance of the hybrid vector APO with multi-dimensional search method is effective.
Keywords :
matrix algebra; optimisation; search problems; constrained optimization problems; decision space; diagonal matrix; hybrid vector artificial physics optimization; multidimensional search method; shrinkage coefficient; Force; Optimization; Search problems; Upper bound; Vectors; APO; Artificial physics optimization; constrained optimization problem; multi-dimensional search methods;
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2011 First International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-1881-6
DOI :
10.1109/RVSP.2011.68
