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2012•Journal of Qingdao University of Science and TechnologyRequires access

Improvement of No Parameter Filled Functions Algorithm for Global Optimization

Qiu Sheng

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Abstract

We studied the nature the series of new filled functions by using filled function methods for global optimization.After that we improved the algorithms of filled functions,so the algorithms can be applied in more fields.The numerical experiments show that the new algorithm is effective,and the algorithm has a better operational efficiency.

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What this paper is about

We studied the nature the series of new filled functions by using filled function methods for global optimization.After that we improved the algorithms of filled functions,so the algorithms can be applied in more fields.The numerical experiments show that the new algorithm is effective,and the algorithm has a better operational efficiency.

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Available abstract

We studied the nature the series of new filled functions by using filled function methods for global optimization.After that we improved the algorithms of filled functions,so the algorithms can be applied in more fields.The numerical experiments show that the new algorithm is effective,and the algorithm has a better operational efficiency.

Key concepts: Series (stratigraphy), Optimization algorithm, Mathematical optimization, Algorithm, Global optimization, Function (biology), Function optimization, Computer science

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