Particle swarm method for solving the global optimization problem using the equilibrium coefficient

Abstract the paper deals with the case when particles are evenly distributed in ravines, using the equilibrium coefficient to update the particle velocity. the method of optimizing a swarm of particles in the case of a "ravine" is one of the most effective approaches for multi-extremal optimization. however, in the existing methods of optimizing the swarm of particles with the "ravine" methods, the number of particles around the ravine is very different from each other, which makes it difficult to find high-quality algorithms in all the ravines. thus, the computational resources are distributed in the ravines in a more balanced way.

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