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Studies in Computational Intelligence

By: Nadia Nedjah (Editor), Luiza de Macedo Mourelle (Editor), Luiza De Macedo Mourelle (Editor)

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Hardcover | 27 June 2006

At a Glance

Hardcover
208 Pages

Dimensions(cm)
24.13 x 15.24 x 0.64

Hardcover

$249.00

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Swarm intelligence is an innovative computational way to solving hard pr- lems. This discipline is inspired by the behavior of social insects such as ?sh schools and bird ?ocks and colonies of ants, termites, bees and wasps. In g- eral, this is done by mimicking the behavior of the biological creatures within their swarms and colonies. Particle swarm optimization, also commonly known as PSO, mimics the behaviorofaswarmofinsectsoraschoolof?sh.Ifoneoftheparticlediscovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensionalspacethathavetwocharacteristics: apositionandavelocity. Theseparticleswanderaroundthehyperspaceandrememberthebestposition that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. The ant colony optimization, commonly known as ACO, is a probabilistic technique for solving computational hard problems which can be reduced to ?ndingoptimalpaths.ACOisinspiredbythebehaviorofantsin?ndingshort paths from the colony nest to the food place. Ants have small brains and bad vision yet they use great search strategy. Initially, real ants wander randomly to ?nd food. They return to their colony while laying down pheromone trails. If other ants ?nd such a path, they are likely to follow the trail with some pheromone and deposit more pheromone if they eventually ?nd food.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Mathematics Applied Mathematics Technology in General Engineering in General

Maths for Engineers

Swarm intelligence : foundations, perspectives and applications	p. 3
Waves of swarm particles (WoSP)	p. 27
Grammatical swarm : a variable-length particle swarm algorithm	p. 59
SWARMs of self-organizing polymorphic agents	p. 75
Swarm intelligence - searchers, cleaners and hunters	p. 93
Ant colony optimisation for fast modular exponentiation using the sliding window method	p. 133
Particle swarm for fuzzy models identification	p. 149
A matlab implementation of swarm intelligence based methodology for identification of optimized fuzzy models	p. 175
Table of Contents provided by Blackwell. All Rights Reserved.

Studies in Computational Intelligence

At a Glance

Hardcover

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How to return your order

Defective items

You Can Find This Book In

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