Results 271 to 280 of about 3,109,206 (294)

Topology Optimization of Particle Swarm Optimization

2014
Particle Swarm Optimization (PSO) is popular in optimization problems for its quick convergence and simple realization. The topology of standard PSO is global-coupling and likely to stop at local optima rather than the global one. This paper analyses PSO topology with complex network theory and proposes two approaches to improve PSO performance.
Fenglin Li, Jian Guo 0006
openaire   +2 more sources

Particle Swarm Optimization with Disagreements

2011
This paper introduces an enhancement to the particle swarm optimization algorithms that models a characteristic of social groups: the disagreements between individuals. After a short introduction, we describe the new concept theoretically and define a special type of particle swarm optimization with disagreements: the 6s-PSOD.
Andrei Lihu, Stefan Holban
openaire   +2 more sources

Jumping Particle Swarm Optimization

2021
Atiq ur Rehman 0002, Ashhadul Islam, Nabiha Azizi, Samir Brahim Belhaouari   +3 more
openaire   +2 more sources

Particle swarm optimization

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
openaire   +2 more sources

Heterogeneous Particle Swarm Optimization

2010
Particles in the standard particle swarm optimization (PSO) algorithms, and most of its modifications, follow the same behaviours. That is, particles implement the same velocity and position update rules. This means that particles exhibit the same search characteristics.
openaire   +1 more source

Particle Swarm Optimization or Differential Evolution—A Comparison

Engineering Applications of Artificial Intelligence, 2023
Jaroslaw J Napiorkowski, Agnieszka Piotrowska, Adam P Piotrowski   +2 more
exaly  

Particle swarms for constrained optimization.

2010
Partikelschwarmoptimierung (PSO) ist ein Optimierungsverfahren aus dem Bereich der Künstlichen Intelligenz. Eine Population sogenannter Partikel bewegt sich auf der Suche nach guten Lösungen durch den durch das Optimierungsproblem festgelegten Suchraum. Inspiriert von natürlichen Schwärmen, hängen die Bewegungen der Schwarmmitglieder sowohl von eigenen
openaire   +2 more sources

Population Size in Particle Swarm Optimization

Swarm and Evolutionary Computation, 2020
Jaroslaw J Napiorkowski, Agnieszka Piotrowska, Adam P Piotrowski   +2 more
exaly  

Understanding the Limitations of Particle Swarm Algorithm for Dynamic Optimization Tasks

ACM Computing Surveys, 2017
Effirul Ikhwan Ramlan
exaly  

A Study of Particle Swarm Optimization Particle Trajectories

Information Sciences, 2006
A P Engelbrecht, F van den Bergh
exaly