Abstract
Although different metaheuristic algorithms have some differences in approaches to determine the optimum solution, however, their general performance is approximately the same. They start the optimization with random solutions, and the subsequent solutions are based on randomization and some other rules. With progressing the optimization process, the power of rules increases, and the power of randomization decreases. It seems that these rules can be modeled by a familiar concept of physics as well known as the fields of forces (FOF). FOF is a concept which is utilized in physics to explain the reason of the operation of the universe. The virtual FOF model is approximately simulated by using the concepts of real-world fields such as gravitational, magnetic, or electric fields (Kaveh and Talatahari [1]).
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Kaveh, A. (2017). Field of Forces Optimization. In: Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer, Cham. https://doi.org/10.1007/978-3-319-46173-1_5
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DOI: https://doi.org/10.1007/978-3-319-46173-1_5
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