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Analysis of a simple particle swarm optimization system
Ender Özcan,Chilukuri K. Mohan +1 more
- Vol. 1998, pp 253-258
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The article was published on 1998-12-01 and is currently open access. It has received 218 citations till now. The article focuses on the topics: Multi-swarm optimization & Metaheuristic.read more
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Dissertation
An analysis of particle swarm optimizers
TL;DR: This thesis presents a theoretical model that can be used to describe the long-term behaviour of the Particle Swarm Optimiser and results are presented to support the theoretical properties predicted by the various models, using synthetic benchmark functions to investigate specific properties.
Journal ArticleDOI
Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art
M Reyes Sierra,Coello C.A.C. +1 more
TL;DR: This paper presents a comprehensive review of the vari- ous MOPSOs reported in the specialized literature, and includes a classification of the approaches, and identifies the main features of each proposal.
Journal ArticleDOI
Optimal power flow using particle swarm optimization
TL;DR: In this paper, an evolutionary-based approach to solve the optimal power flow (OPF) problem is presented. And the proposed approach has been examined and tested on the standard IEEE 30bus test system with different objectives that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement.
Journal ArticleDOI
A study of particle swarm optimization particle trajectories
TL;DR: Current theoretical studies on particle swarm optimization are extended to investigate particle trajectories for general swarms to include the influence of the inertia term, and a formal proof that each particle converges to a stable point is provided.
Journal ArticleDOI
Particle swarm optimization algorithm: an overview
Dongshu Wang,Dapei Tan,Lei Liu +2 more
TL;DR: Its origin and background is introduced and the theory analysis of the PSO is carried out, which analyzes its present situation of research and application in algorithm structure, parameter selection, topology structure, discrete PSO algorithm and parallel PSO algorithms, multi-objective optimization PSO and its engineering applications.