2015Unpublished venueRequires access

A Hybrid Algorithm for Global Optimization

Fei Qin, Jie Liu

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Abstract

In this paper, a hybrid optimization algorithm, consisting of a central force optimization and a gradient-based method, is constructed. The central force optimization is used to locate decent points for previously converged local minima. The combined algorithm balance explores and exploits.

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What this paper is about

In this paper, a hybrid optimization algorithm, consisting of a central force optimization and a gradient-based method, is constructed. The central force optimization is used to locate decent points for previously converged local minima. The combined algorithm balance explores and exploits.

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Available abstract

In this paper, a hybrid optimization algorithm, consisting of a central force optimization and a gradient-based method, is constructed. The central force optimization is used to locate decent points for previously converged local minima. The combined algorithm balance explores and exploits.

Key concepts: Maxima and minima, Optimization algorithm, Exploit, Computer science, Mathematical optimization, Algorithm, Global optimization, Optimization problem

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