Further Scalable Test Functions for Multidimensional Continuous Optimization

Main Article Content

George Anescu

Abstract

Multidimensional scalable test functions are very important in testing the capabilities of new optimization methods, especially in evaluating their response to the increase of the search space dimension. As a continuation of a previous published paper, new sets of test functions for continuous optimization are proposed, both unconstrained (or only box constrained, 7 new test functions) and constrained (10 new test functions).

Article Details

How to Cite
Anescu, G. (2019). Further Scalable Test Functions for Multidimensional Continuous Optimization. Journal of Advances in Mathematics and Computer Science, 34(4), 1-10. https://doi.org/10.9734/jamcs/2019/v34i430221
Section
Original Research Article

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