Parallel Evolutionary Computations (Studies in Computational Intelligence (22))

"Parallel Evolutionary Computation" 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. The book is divided into four parts. The first part deals with a clear software-like and algorithmic vision on parallel evolutionary optimizations. The second part is about hardware implementations of genetic algorithms, a valuable topic which is hard to find in the present literature. The third part treats the problem of distributed evolutionary computation and presents three interesting applications wherein parallel EC new ideas are featured. Finally, the last part deals with the up-to-date field of parallel particle swarm optimization to illustrate the intrinsic similarities and potential extensions to techniques in this domain. The book offers a wide spectrum of sample works developed in leading research throughout the world about parallel implementations of efficient techniques at the heart of computational intelligence. It will be useful both for beginners and experienced researchers in the field of computational intelligence. 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 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.