DMPSO: Diversity-Guided Multi-Mutation Particle Swarm Optimizer

DMPSO: Diversity-Guided Multi-Mutation Particle Swarm Optimizer

Particle swarm optimization (PSO) is a population based meta-heuristic search technique that has been widely applied to deal with various optimization problems. However, like other stochastic methods, PSO also encounters the problems of entrapment into local optima and premature convergence in solvi...

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Bibliographic Details
Main Authors: Dongping Tian, Xiaofei Zhao, Zhongzhi Shi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Particle swarm optimization
opposition-based learning
swarm diversity
inertial weight
premature convergence
local optima
Online Access:https://ieeexplore.ieee.org/document/8817908/

Internet

https://ieeexplore.ieee.org/document/8817908/

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