Perfectly convergent particle swarm optimisation in multidimensional space
In this paper a novel evolutionary algorithm, perfectly convergent particle swarm
optimisation (PCPSO) has been proposed. This is an intelligent algorithm which does not …
optimisation (PCPSO) has been proposed. This is an intelligent algorithm which does not …
[PDF][PDF] Combined heuristic optimization techniques for global minimization
K Premalatha, AM Natarajan - Int. J. Advance. Soft Comput. Appl, 2010 - Citeseer
Abstract This paper presents Combined Heuristic Optimization Techniques of Particle
Swarm Optimization (PSO) algorithm with Simulated Annealing (SA). Particle Swarm …
Swarm Optimization (PSO) algorithm with Simulated Annealing (SA). Particle Swarm …
Particle swarm optimization with chaotic opposition-based population initialization and stochastic search technique
W Gao, S Liu, L Huang - … in Nonlinear Science and Numerical Simulation, 2012 - Elsevier
Particle swarm optimization (PSO) is a relatively new optimization algorithm that has been
applied to a variety of problems. However, it may easily get trapped in a local optima when …
applied to a variety of problems. However, it may easily get trapped in a local optima when …
An improved dynamic weighted particle swarm optimization (IDW-PSO) for continuous optimization problem
In this Study we found that Learning from the natural phenomenon of the social animal is the
best way to learn and getting a best mechanism for adapting the dynamic nature of the …
best way to learn and getting a best mechanism for adapting the dynamic nature of the …
A improved particle swarm optimization algorithm with dynamic acceleration coefficients
G Ma, R Gong, Q Li, G Yao - Bulletin of Electrical Engineering and …, 2016 - beei.org
Particle swarm optimization (PSO) is one of the famous heuristic methods. However, this
method may suffer to trap at local minima especially for multimodal problem. This paper …
method may suffer to trap at local minima especially for multimodal problem. This paper …
LADPSO: using fuzzy logic to conduct PSO algorithm
Optimization plays a critical role in human modern life. Nowadays, optimization is used in
many aspects of human modern life including engineering, medicine, agriculture and …
many aspects of human modern life including engineering, medicine, agriculture and …
An improved particle swarm optimization based on the reinforcement of the population initialization phase by scrambled Halton sequence
The use of meta-heuristic methods for solving nonlinear engineering and optimization
problems is one of the paramount topics that attracted the attention of the researchers …
problems is one of the paramount topics that attracted the attention of the researchers …
Hierarchical particle swarm optimization for optimization problems
CC Chen - Journal of Applied Science and Engineering, 2009 - jase.tku.edu.tw
In this paper, a hierarchical particle swarm optimization (HPSO) is proposed to improve the
premature convergence in the PSO approach. In the proposed HPSO approach, all particles …
premature convergence in the PSO approach. In the proposed HPSO approach, all particles …
Dynamic-PSO: An improved particle swarm optimizer
In this paper, a variant of particle swarm optimization (PSO) is presented to handle the
problem of stagnation encounters in PSO which may lead to get it trapped in local optima …
problem of stagnation encounters in PSO which may lead to get it trapped in local optima …