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Research Article Open access CC BY 4.0

Further Scalable Test Functions for Multidimensional Continuous Optimization

George Anescu

Journal of Advances in Mathematics and Computer Science · pp. 1–10 · Published 14 Dec 2019

10.9734/jamcs/2019/v34i430221

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).

Optimization Continuous Global Optimization Problem (CGOP) Unconstrained Optimization Constrained Optimization

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