Hybrid Optimization Algorithm and its Application in Constraint Optimization Problems
Zhongju Chen
Abstract
Zhongju Chen
Abstract
A optimization algorithm is proposed in this paper through embedding the improved Alopex algorithm into the chaos optimization algorithm.By integarting the fast search ability of the improved Alopex algorithm with the fine search characteristics of the chaos optimization algorithm,a new hybrid algorithm is presented,which converges faster and avoids being trapped in local optimum.Te simulation results show the effectiveness of this algorithm when it is applied to constraint optimization problems.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A optimization algorithm is proposed in this paper through embedding the improved Alopex algorithm into the chaos optimization algorithm.By integarting the fast search ability of the improved Alopex algorithm with the fine search characteristics of the chaos optimization algorithm,a new hybrid algorithm is presented,which converges faster and avoids being trapped in local optimum.Te simulation results show the effectiveness of this algorithm when it is applied to constraint optimization problems.
Key concepts: Meta-optimization, Mathematical optimization, Algorithm, Optimization algorithm, Computer science, CHAOS (operating system), Hybrid algorithm (constraint satisfaction), Optimization problem