![]() The focus of the study is both on the objective functions, the optimization algorithms used, and their suitability for solving each problem. All implementations are done in MATLAB, with full source code availability. We investigate the performance of three optimization algorithms on the functions: two metaheuristic algorithms, namely Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), and one mathematical algorithm, Sequential Quadratic Programming (SQP). The functions feature a wide variability in terms of complexity. The functions are defined in multiple dimensions, for any number of dimensions, and can be used as benchmark functions for unconstrained multidimensional single-objective optimization problems. ![]() A collection of thirty mathematical functions that can be used for optimization purposes is presented and investigated in detail. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
January 2023
Categories |