Discussion of article "Population optimization algorithms: ElectroMagnetism-like algorithm (ЕМ)"
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New article Population optimization algorithms: ElectroMagnetism-like algorithm (ЕМ) has been published:
The article describes the principles, methods and possibilities of using the Electromagnetic Algorithm in various optimization problems. The EM algorithm is an efficient optimization tool capable of working with large amounts of data and multidimensional functions.
The ElectroMagnetism-like (ЕМ) algorithm is a relatively new metaheuristic search algorithm based on the simulation of the behavior of electromagnetic particles in physical space, first introduced by I. Birbil and S.С. Fang in 2003. It is described as an evolutionary algorithm with random noise and a population based on the electromagnetic force of the interaction between charged particles.
This algorithm is inspired by the mechanism of attraction and repulsion of charges in the theory of electromagnetism for solving non-linear optimization problems without restrictions in a continuous domain. Due to its ability to solve complex global optimization problems, EM is widely used as an optimization tool in many areas.Author: Andrey Dik