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 s
Parallel Evolutionary Computations
β Scribed by HernΓ‘n Aguirre, Kiyoshi Tanaka (auth.), Nadia Nedjah Dr., Luiza de Macedo Mourelle Dr., Enrique Alba Professor (eds.)
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Leaves
- 201
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Artificial Intelligence (incl. Robotics)
π SIMILAR VOLUMES
<p><P>"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
"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 applic
"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 applic
<p><p>Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using fin
<p><p>Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using fin