Particle Swarm Optimization (PSO) is having a growing space in the optimization community, mainly due to its appreciable qualities of fast initial progress, reduced computational cost and parallel structure, suitable for High Performance Computation (HPC) platforms. Original formulation includes some random co
Particle Swarm Optimization (PSO) is a population based heuristic search method for finding global o...
Particle Swarm optimisation (PSO) is a particular form of swarm intelligence, which itself is an inn...
This paper introduces two new versions of dissipative particle swarm optimization. Both of these use...
Particle Swarm Optimization (PSO) is having a growing space in the optimization community, mainly du...
Since the introduction of the first Particle Swarm Optimization algorithm by James Kennedy and Russe...
A guideline for an effective and efficient use of a deterministic variant of the Particle Swarm Opti...
Global derivative-free deterministic algorithms are particularly suitable for simulation-based optim...
We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysi...
Simulation-based design optimization (SBDO) methods integrate computer simu- lations, design modi...
Deterministic optimization algorithms are very attractive when the objective\ud function is computat...
A guideline for an effective and efficient use of a deterministic variant of the Particle Swarm Opti...
Optimization has been an active area of research for several decades. As many real-world optimizati...
Several theoretical analyses of the dynamics of particle swarms have been offered in the literature ...
Stochastic optimization algorithms are usually evaluated based on performance on high dimensional be...
AbstractParticle swarm optimization (PSO) is a stochastic algorithm used for the optimization proble...
Particle Swarm Optimization (PSO) is a population based heuristic search method for finding global o...
Particle Swarm optimisation (PSO) is a particular form of swarm intelligence, which itself is an inn...
This paper introduces two new versions of dissipative particle swarm optimization. Both of these use...
Particle Swarm Optimization (PSO) is having a growing space in the optimization community, mainly du...
Since the introduction of the first Particle Swarm Optimization algorithm by James Kennedy and Russe...
A guideline for an effective and efficient use of a deterministic variant of the Particle Swarm Opti...
Global derivative-free deterministic algorithms are particularly suitable for simulation-based optim...
We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysi...
Simulation-based design optimization (SBDO) methods integrate computer simu- lations, design modi...
Deterministic optimization algorithms are very attractive when the objective\ud function is computat...
A guideline for an effective and efficient use of a deterministic variant of the Particle Swarm Opti...
Optimization has been an active area of research for several decades. As many real-world optimizati...
Several theoretical analyses of the dynamics of particle swarms have been offered in the literature ...
Stochastic optimization algorithms are usually evaluated based on performance on high dimensional be...
AbstractParticle swarm optimization (PSO) is a stochastic algorithm used for the optimization proble...
Particle Swarm Optimization (PSO) is a population based heuristic search method for finding global o...
Particle Swarm optimisation (PSO) is a particular form of swarm intelligence, which itself is an inn...
This paper introduces two new versions of dissipative particle swarm optimization. Both of these use...