2009Journal of Qufu Normal UniversityRequires access

Hybrid Optimization Algorithm and its Application in Constraint Optimization Problems

Zhongju Chen

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Meta-optimization, Mathematical optimization, Algorithm, Optimization algorithm, Computer science, CHAOS (operating system), Hybrid algorithm (constraint satisfaction), Optimization problem

Related papers

Back to paper searchBrowse research topicsOriginal source
Hybrid Optimization Algorithm and its Application in Constraint Optimization Problems — Research Paper | ScholarLens