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Modified Particle Swarm Optimization with novel modulated inertia for velocity update
2016
International Journal of Engineering and Technology
Particle swarm optimization (PSO) is a population-based stochastic search algorithm for searching the optimal regions from multidimensional space, inspired by the social behaviour of some animal species. However, it has its limitations such as being trapped into a local optima and having a slow rate of convergence. In this paper, a new method of creating a combination of a developed Accelerated PSO and a new modulated inertia coefficient for the velocity update has been proposed. Random term
doi:10.21817/ijet/2016/v8i4/160804011
fatcat:mfh5otwq7jfyxho7n7qcuq5lnq