This book focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications. It offers a wide spectrum of sample works developed in leading research about parallel implementations of efficient techniques at the heart of computational intelligence.
Author(s): Nadia Nedjah, Enrique Alba, Luiza de Macedo Mourelle
Series: Studies in Computational Intelligence 22
Edition: 1
Publisher: Springer
Year: 2006
Language: English
Pages: 224
Cover......Page 1
Studies in Computational Intelligence, Volume 22......Page 3
Parallel Evolutionary
Computations......Page 4
ISBN-13 9783540328377......Page 5
Preface......Page 7
Contents......Page 11
List of Figures......Page 16
List of Tables......Page 20
List of Algorithms......Page 22
1
A Model for Parallel Operators
in Genetic Algorithms......Page 23
2
Parallel Evolutionary Multiobjective
Optimization......Page 52
3
A Reconfigurable Parallel Hardware
for Genetic Algorithms......Page 76
4
Reconfigurable Computing and Parallelism
for Implementing and Accelerating
Evolutionary Algorithms......Page 87
5
Performance of Distributed GAs on DNA
Fragment Assembly......Page 110
6
On Parallel Evolutionary Algorithms
on the Computational Grid......Page 129
7
Parallel Evolutionary Algorithms
on Consumer-Level Graphics Processing Unit......Page 145
8
Intelligent Parallel Particle Swarm
Optimization Algorithms......Page 168
9
Parallel Ant Colony Optimization for 3D
Protein Structure Prediction using the HP
Lattice Model......Page 185
Subject Index......Page 207
