Particle swarm optimization : theory, techniques, and applications
- Responsibility
- Andrea E. Olsson, editor.
- Language
- English. English.
- Publication
- Hauppauge, N.Y. : Nova Science Publishers, c2011.
- Physical description
- 1 online resource.
- Series
- Engineering tools, techniques and tables.
Online
Available online
More options
Description
Creators/Contributors
- Contributor
- Olsson, Andrea E.
Contents/Summary
- Bibliography
- Includes bibliographical references and index.
- Contents
-
- Preface
- Using Mono-Objective & Multi-Objective Particle Swarm Optimization for the Tuning of Process Control Laws
- Study on Vehicle Routing Problem with Time Windows Based on Enhanced Particle Swarm Optimization Approach
- Reliability Optimization Problems using Adaptive Genetic Algorithm & Improved Particle Swarm Optimization
- Convergence Issues in Particle Swarm Optimization
- Globally Convergent Modifications of Particle Swarm Optimization for Unconstrained Optimization
- Nonlinear 0-1 Programming through Particle Swarm Optimization using Decoding Algorithms
- Comparative Study of Different Approaches to Particle Swarm Optimization in Theory & Practice
- Particle Swarm Optimization for Computer Graphics & Geometric Modeling: Recent Trends
- The Singly-Linked Ring Topology for the Particle Swarm Optimization Algorithm
- PSO Assisted Multiuse Detection for DS-CDMA Communication Systems
- Optimization of Abrasive Flow Machining Process Parameters using Particle Swarm Optimization & Simulated Annealing Algorithms
- Index.
- (source: Nielsen Book Data)
- Publisher's summary
-
Particle swarm optimisation (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimisation problem in a search space or model and predicts social behaviour in the presence of objectives. The PSO is a stochastic, population-based computer algorithm modelled on swarm intelligence. Swarm intelligence is based on social-psychological principles and provides insights into social behaviour, as well as contributing to engineering applications. This book presents information on particle swarm optimisation such as using mono-objective and multi-objective particle swarm optimisation for the tuning of process control laws; convergence issues in particle swarm optimisation; study on vehicle routing problems using enhanced particle swarm optimisation and others.
(source: Nielsen Book Data)
Subjects
Bibliographic information
- Publication date
- 2011
- Series
- Engineering tools, techniques and tables
- ISBN
- 9781613247006 ebook
- 1613247001
- 9781616685270 hardcover
- 1616685271 (hardcover)
