In this paper a new method for dynamic parameter adaptation in harmony search (HS) algorithm is proposed. HS is a music inspired metaheuristic optimization algorithm, in particular we refer to jazz improvisation and is applied to solve complex problems. In this paper we propose an improvement to the convergence of the harmony search algorithm using fuzzy logic. Simulation results show that the propose approach improves the performance of HS, and benchmark mathematical functions are used to illustrate the feasibility of the proposed approach.
CITATION STYLE
Peraza, C., Valdez, F., & Castillo, O. (2015). An improved harmony search algorithm using fuzzy logic for the optimization of mathematical functions. Studies in Computational Intelligence, 601, 605–615. https://doi.org/10.1007/978-3-319-17747-2_46
Mendeley helps you to discover research relevant for your work.