Further Scalable Test Functions for Multidimensional Continuous Optimization
George Anescu *
Faculty of Power Plant Engineering, Polytechnic University of Bucharest, Romania.
*Author to whom correspondence should be addressed.
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).
Keywords: Optimization, Continuous Global Optimization Problem (CGOP), Unconstrained Optimization, Constrained Optimization