METAHEURISTICS WITH PYTHON: PRACTICAL CASES

Abstract

This study shows the potential use of metaheuristic techniques to address decision-making problems in contexts of great complexity and with applicability to a wide variety of fields. Practical cases are presented in the field of aquaculture and the management of fish farms; as well as, in reverse engineering. These cases address highly complex optimization problems due to the high number of variables and restrictions. To solve this type of problems, some metaheuristic methods implemented in Python are presented as useful tools to achieve satisfactory solutions. The solutions obtained have been optimal or quasi-optimal achieved in acceptable times.