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A criterion for an approximation global optimal solution based on the filled functions
Author(s) -
L. C. L. Yuan,
Zhongping Wan,
Qiuhua Tang
Publication year - 2015
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2016.12.375
Subject(s) - class (philosophy) , mathematical optimization , point (geometry) , function (biology) , computer science , mathematics , global optimization , artificial intelligence , geometry , evolutionary biology , biology
In this paper, a new definition of the filled function is given. Based on the new definition, a new class of filled functions is constructed, and the properties of the new filled functions are analysed and discussed. Moreover, according to the new class of filled functions, a criterion is given to decide whether the point we have obtained is an approximate global optimal solution. Finally, a global optimization algorithm based on the new class of filled functions is presented. The implementation of the algorithm on several test problems is reported with numerical results.

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