Differential Genetic Particle Swarm Optimization for Continuous Function Optimization

In this paper, to introduce consistency and diversity, the concept of inertia weight is introduced to a modified genetic particle swarm optimization which was derived from the genetic particle swarm optimization (GPSO) and the differential evolution (DE)...

Enhanced PSO with levy flight.Random walk of the particles.High convergence rate.Provides solution accuracy and robust. Hüseyin Haklı and Harun Uguz (2014) proposed a novel approach for global function optimization using particle swarm optimization with ...

Particle swarm optimization (PSO) is population-based heuristic searching algorithm. PSO has excellent ability of global optimization. However, there are some shortcomings of prematurity, low convergence accuracy and speed, similarly to other ...