Particle Swarm Optimization with Modified Velocity Strategy
نویسندگان
چکیده
منابع مشابه
Modified Particle Swarm Optimization
Particle Swarm Optimization (PSO) is a very popular optimization technique, but it suffers from a major drawback of a possible premature convergence i.e. convergence to a local optimum and not to the global optimum. This paper attempts to improve on the reliability of PSO by addressing the drawback. This problem of premature convergence is more probable with the problems, which have the global ...
متن کاملParticle swarm optimization with fractional-order velocity
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimization algorithm using fractional calculus (FC) concepts. The optimization is tested for several wellknown functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed. The FC demonstrates a potential for interpreting evolution of the algorit...
متن کاملModified Particle Swarm Optimization for Optimization Problems
In the paper a modified particle swarm optimization (MPSO) is proposed where concepts from firefly algorithm (FA) are borrowed to enhance the performance of particle swarm optimization (PSO). The modifications focus on the velocity vectors of the PSO, which fully use beneficial information of the position of particles and increase randomization item in the PSO. Finally, the performance of the p...
متن کاملLevy Velocity Threshold Particle Swarm Optimization
Velocity threshold plays an important role in the particle swarm optimization. In this paper, a novel stochastic velocity threshold automation strategy is proposed by incorporated with Lévy probability distribution. As is known, Lévy probability distribution has an infinite second moment and is likely to generate an offspring that is far away from its parent. Therefore, this method employs a la...
متن کاملA Modified Particle Swarm Optimization Algorithm
In optimizing the particle swarm optimization (PSO) that inevitable existence problem of prematurity and the local convergence, this paper base on this aspects is put forward a kind of modified particle swarm optimization algorithm, take the gradient descent method (BP algorithm) as a particle swarm operator embedded in particle swarm algorithm, and at the same time use to attenuation wall (Dam...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energy Procedia
سال: 2011
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2011.10.360