2012Journal of Hefei University of TechnologyRequires access

A one-parameter filled function for nonlinear global optimization

Chenghao Li

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Abstract

According to the theory and method of filled function algorithm,a filled function with one parameter for solving global optimization problem is proposed.The theoretical properties of the filled function are investigated and an algorithm is developed from the filled function.This function,which contains only one parameter,is easy to adjust in the actual calculation.Finally the experimental results show that the method is effective.

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What this paper is about

According to the theory and method of filled function algorithm,a filled function with one parameter for solving global optimization problem is proposed.The theoretical properties of the filled function are investigated and an algorithm is developed from the filled function.This function,which contains only one parameter,is easy to adjust in the actual calculation.Finally the experimental results show that the method is effective.

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Available abstract

According to the theory and method of filled function algorithm,a filled function with one parameter for solving global optimization problem is proposed.The theoretical properties of the filled function are investigated and an algorithm is developed from the filled function.This function,which contains only one parameter,is easy to adjust in the actual calculation.Finally the experimental results show that the method is effective.

Key concepts: Function (biology), Mathematical optimization, Nonlinear system, Global optimization, Nonlinear programming, Mathematics, Algorithm, Applied mathematics

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