This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly describes questions of optimization and some optimization techniques. Part of this work is recherché of variants of particle swarm optimization algorithm. These algorithms are mathematically described. Their advantages or disadvantages in comparison with the basic PSO algorithm are mentioned. The second part of this work describes mQPSO algorithm and created modification mQPSOPC. Described algorithms are compared with each other and with another evolution algorithm on several tests
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in so...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the lit...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
An algorithm with different parameter settings often performs differently on the same problem. The p...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Particle swarm optimization is a heuristic global optimization method and also an optimization algor...
Abstract — The development of Particle swarm optimization (PSO), an optimization algorithm based on ...
We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysi...
Abstract:-: This paper presents a modified version of the Particle Swarm Optimization (PSO). In the ...
Abstract: Particle swarm optimization is a population-based, meta-heuristic optimization technique b...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
Particle Swarm Optimization (PSO) is an evolutionary computation technique similar to genetic algori...
Particle Swarm Optimization (PSO) is one of the concepts of swarm intelligence inspired by studies i...
The particle swarm optimization (PSO) is a popular optimization technique for the solution of object...
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in so...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the lit...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
An algorithm with different parameter settings often performs differently on the same problem. The p...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Particle swarm optimization is a heuristic global optimization method and also an optimization algor...
Abstract — The development of Particle swarm optimization (PSO), an optimization algorithm based on ...
We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysi...
Abstract:-: This paper presents a modified version of the Particle Swarm Optimization (PSO). In the ...
Abstract: Particle swarm optimization is a population-based, meta-heuristic optimization technique b...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
Particle Swarm Optimization (PSO) is an evolutionary computation technique similar to genetic algori...
Particle Swarm Optimization (PSO) is one of the concepts of swarm intelligence inspired by studies i...
The particle swarm optimization (PSO) is a popular optimization technique for the solution of object...
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in so...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the lit...