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2012•Journal of Fuyang Teachers CollegeRequires access

Improved gridding optimization algorithm for multimodal function optimization

Wei Kang

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Abstract

An improved gridding optimization algorithm(IGOA) based on such advantages as simple code,fast convergence and global optimization of GOA,is proposed to solve some existing problems in Multi-modal function optimization.The search range diversity of antibodies and global search capability could be enhanced by the Improvement Gridding Optimization Algorithm.The results tested on typical Multi-modal function show that the IGOA has strong global search capability and high search efficiency.

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What this paper is about

An improved gridding optimization algorithm(IGOA) based on such advantages as simple code,fast convergence and global optimization of GOA,is proposed to solve some existing problems in Multi-modal function optimization.The search range diversity of antibodies and global search capability could be enhanced by the Improvement Gridding Optimization Algorithm.The results tested on typical Multi-modal function show that the IGOA has strong global search capability and high search efficiency.

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Available abstract

An improved gridding optimization algorithm(IGOA) based on such advantages as simple code,fast convergence and global optimization of GOA,is proposed to solve some existing problems in Multi-modal function optimization.The search range diversity of antibodies and global search capability could be enhanced by the Improvement Gridding Optimization Algorithm.The results tested on typical Multi-modal function show that the IGOA has strong global search capability and high search efficiency.

Key concepts: Function optimization, Global optimization, Convergence (economics), Computer science, Mathematical optimization, Range (aeronautics), Algorithm, Optimization problem

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