Add to ORKGThe aim of this thesis is to develop a library that is able to solve optimization tasks using PSO. The library is implemented using Kotlin and is designed to achieve high extensibility and usability. Moreover, a tool for processing and statistical analysis of experiments performed using the library is implemented by means of the Jupyter Notebook environment. The utilization of these tools creates a setup suitable for experimenting with the current and developing new variations of the PSO algorithm
This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, r...
Abstract This paper presents use of Particle Swarm Optimization (PSO) algorithm introduced by Kenned...
An algorithm with different parameter settings often performs differently on the same problem. The p...
Cílem této práce je vývoj knihovny umožňující řešení optimalizačních úloh pomocí technik PSO. Práce ...
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in so...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
PSO is a population based evolutionary algorithm and is motivated from the simulation of social beha...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
In this work, we present an overview of the various real-world application of Particle Swarm Optimiz...
The particle swarm optimization (PSO) algorithm has been the object of many studies and modification...
This thesis analyzes the implementation of a testing algorithm, Particle Swarm Optimization, biologi...
Abstract—This paper introduces a generic toolbox of Parti-cle Swarm Optimization developed in the pl...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Abstract — The development of Particle swarm optimization (PSO), an optimization algorithm based on ...
This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, r...
Abstract This paper presents use of Particle Swarm Optimization (PSO) algorithm introduced by Kenned...
An algorithm with different parameter settings often performs differently on the same problem. The p...
Cílem této práce je vývoj knihovny umožňující řešení optimalizačních úloh pomocí technik PSO. Práce ...
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in so...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
PSO is a population based evolutionary algorithm and is motivated from the simulation of social beha...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
In this work, we present an overview of the various real-world application of Particle Swarm Optimiz...
The particle swarm optimization (PSO) algorithm has been the object of many studies and modification...
This thesis analyzes the implementation of a testing algorithm, Particle Swarm Optimization, biologi...
Abstract—This paper introduces a generic toolbox of Parti-cle Swarm Optimization developed in the pl...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Abstract — The development of Particle swarm optimization (PSO), an optimization algorithm based on ...
This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, r...
Abstract This paper presents use of Particle Swarm Optimization (PSO) algorithm introduced by Kenned...
An algorithm with different parameter settings often performs differently on the same problem. The p...