Nowadays, particle swarm optimisation (PSO) is one of the most commonly used optimisation techniques. However, PSO parameters significantly affect its computational behaviour. That is, while it exposes desirable computational behaviour with some settings, it does not behave so by some other settings, so the way for setting them is of high importance. This paper explains and discusses thoroughly about various existent strategies for setting PSO parameters, provides some hints for its parameter setting and presents some proposals for future research on this area. There exists no other paper in literature that discusses the setting process for all PSO parameters. Using the guidelines of this paper can be strongly useful for researchers in opti...
The performance of the recently proposed Unified Particle Swarm Optimization method is investigated ...
Particle Swarm Optimization (PSO) is one of the concepts of swarm intelligence inspired by studies i...
It is not trivial to tune the swarm behavior just by parameter setting because of the randomness, co...
The particle swarm optimization (PSO) algorithm is a stochastic, population-based optimization techn...
What attributes and settings of the Particle Swarm Optimizer constants result in a good, off-the-she...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
FACTS optimisation is one of the most important and difficult problems in power systems. For solving...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological behaviour...
The particle swarm optimization (PSO) algorithm is a stochastic search technique based on the social...
Particle Swarm Optimizer (PSO) is such a complex stochastic process so that analysis on the stochast...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
PSO algorithm is an intelligent optimization algorithm based on swarm intelligence. Particle swarm o...
This study focuses on the development of a scheme for self-adapting the Particle Swarm Optimization ...
The performance of the recently proposed Unified Particle Swarm Optimization method is investigated ...
Particle Swarm Optimization (PSO) is one of the concepts of swarm intelligence inspired by studies i...
It is not trivial to tune the swarm behavior just by parameter setting because of the randomness, co...
The particle swarm optimization (PSO) algorithm is a stochastic, population-based optimization techn...
What attributes and settings of the Particle Swarm Optimizer constants result in a good, off-the-she...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
FACTS optimisation is one of the most important and difficult problems in power systems. For solving...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological behaviour...
The particle swarm optimization (PSO) algorithm is a stochastic search technique based on the social...
Particle Swarm Optimizer (PSO) is such a complex stochastic process so that analysis on the stochast...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
PSO algorithm is an intelligent optimization algorithm based on swarm intelligence. Particle swarm o...
This study focuses on the development of a scheme for self-adapting the Particle Swarm Optimization ...
The performance of the recently proposed Unified Particle Swarm Optimization method is investigated ...
Particle Swarm Optimization (PSO) is one of the concepts of swarm intelligence inspired by studies i...
It is not trivial to tune the swarm behavior just by parameter setting because of the randomness, co...