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9781616685270

Particle Swarm Optimization : Theory, Techniques and Applications

by
  • ISBN13:

    9781616685270

  • ISBN10:

    1616685271

  • Format: Hardcover
  • Copyright: 2011-03-30
  • Publisher: Nova Science Pub Inc
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List Price: $190.00

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.

Table of 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
Table of Contents provided by Publisher. All Rights Reserved.

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