This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, readers can find the recent theoretical developments and applications on PSO algorithm. From the theoretical aspect, PSO has preserved its popularity because of the fast convergence rate, and a lot of hybrid algorithms have recently been developed in order to increase the performance of the algorithm. At the same time, PSO has also been used to solve different kinds of engineering optimization problems. In this book, a reader can find engineering applications of PSO, such as environmental economic dispatch and grid computing
Many engineering optimization problems can be state as function optimization with constrained, intel...
Abstract — The development of Particle swarm optimization (PSO), an optimization algorithm based on ...
Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has gained pr...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Abstract—Many areas in power systems require solving one or more nonlinear optimization problems. Wh...
Particle Swarm Optimization (PSO) is one of the concepts of swarm intelligence inspired by studies i...
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in so...
Particle swarm optimization is a heuristic global optimization method and also an optimization algor...
In this work, we present an overview of the various real-world application of Particle Swarm Optimiz...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
Many areas in power systems require solving one or more nonlinear optimization problems. While analy...
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...
Abstract: Particle swarm optimization is a population-based, meta-heuristic optimization technique b...
Many engineering optimization problems can be state as function optimization with constrained, intel...
Abstract — The development of Particle swarm optimization (PSO), an optimization algorithm based on ...
Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has gained pr...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by ...
Abstract—Many areas in power systems require solving one or more nonlinear optimization problems. Wh...
Particle Swarm Optimization (PSO) is one of the concepts of swarm intelligence inspired by studies i...
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in so...
Particle swarm optimization is a heuristic global optimization method and also an optimization algor...
In this work, we present an overview of the various real-world application of Particle Swarm Optimiz...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
Many areas in power systems require solving one or more nonlinear optimization problems. While analy...
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...
Abstract: Particle swarm optimization is a population-based, meta-heuristic optimization technique b...
Many engineering optimization problems can be state as function optimization with constrained, intel...
Abstract — The development of Particle swarm optimization (PSO), an optimization algorithm based on ...
Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has gained pr...