Metaheuristics

Dear Colleagues,

There are a great variety of challenges that require solution in areas of science and engineering that can be posed as optimization problems. These involve different physical quantities such as time, temperature, distance, and speed, as well as costs, utility, quality, and raw materials in real-life problems. The metaheuristic algorithms generally solve an infinity of these problems by defining the variables, the objective function, and the constraints that model the problem. Metaheurists propose strategies to explore the search space and find good solutions to the scientific or engineering problem. The purpose of the Special Issue on Metaheuristics is to establish new paradigms of search strategies based on mathematical modeling of bioinspired systems or physical systems that help to establish new algorithms, as well as present applications to different scientific and engineering challenges that can be modeled as optimization problems. It is of special interest to researchers in areas such as computer science, physics, artificial intelligence, computer vision, combinatorial optimization, and engineering areas such as industrial, mechatronics, robotics, and biomedicine, among others.

Dr. Francisco Cuevas de la Rosa
Guest Editor

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