Systems Engineering using Swarm Particle Optimisation

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

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"The ant colony optimization, commonly known as ACO, is a probabilistic technique for solving computational hard problems which can be reduced to finding optimal paths. Ants have small brains and bad vision yet they use great search strategy. Particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. The content of this book is divided into two main parts: ant colony optimization and particle swarm optimization. The former describes systems that have been engineered using ant colony optimization and the latter presents systems that were designed based on particle swarm optimization."--BOOK JACKET.

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Non-Fiction Engineering & Technology Technology in General Engineering in General Mathematics Applied Mathematics Science

An ant colony optimization meta-heuristic for subset selection problems	p. 3
Ant colony system for the beam angle optimization problem in radiotherapy planning	p. 27
Ant colony optimisation for fast exponentiations using optimal addition-subtraction chains	p. 53
Comparative investigation of PSO vs. GA for dynamically reconfigurable sensor electronics	p. 67
Piecewise reference-driven Takagi-Sugeno fuzzy modelling based on particle swarm optimization	p. 85
Diffusion controlled cellular automaton performing mesh partitioning with dynamic inserting of domains	p. 113
Table of Contents provided by Blackwell. All Rights Reserved.

Systems Engineering using Swarm Particle Optimisation

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