Solving mixed integer nonlinear programming problems using spiral dynamics optimization algorithm

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Abstract

Many engineering and practical problem can be modeled by mixed integer nonlinear programming. This paper proposes to solve the problem with modified spiral dynamics inspired optimization method of Tamura and Yasuda. Four test cases have been examined, including problem in engineering and sport. This method succeeds in obtaining the optimal result in all test cases.

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CITATION STYLE

APA

Kania, A., & Sidarto, K. A. (2016). Solving mixed integer nonlinear programming problems using spiral dynamics optimization algorithm. In AIP Conference Proceedings (Vol. 1716). American Institute of Physics Inc. https://doi.org/10.1063/1.4942987

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