Parallel Metaheuristics: A New Class of Algorithms (repost)
Parallel Metaheuristics: A New Class of Algorithms
by Enrique Alba
English | 2005 | ISBN: 0471678066 | 576 pages | PDF | 31.8 MB
by Enrique Alba
English | 2005 | ISBN: 0471678066 | 576 pages | PDF | 31.8 MB
Parallel Metaheuristics brings together an international group of experts in parallelism and metaheuristics to provide a much-needed synthesis of these two fields. Readers discover how metaheuristic techniques can provide useful and practical solutions for a wide range of problems and application domains, with an emphasis on the fields of telecommunications and bioinformatics. This volume fills a long-existing gap, allowing researchers and practitioners to develop efficient metaheuristic algorithms to find solutions.
The book is divided into three parts:
- Part One: Introduction to Metaheuristics and Parallelism, including an Introduction to Metaheuristic Techniques, Measuring the Performance of Parallel Metaheuristics, New Technologies in Parallelism, and a head-to-head discussion on Metaheuristics and Parallelism
- Part Two: Parallel Metaheuristic Models, including Parallel Genetic Algorithms, Parallel Genetic Programming, Parallel Evolution Strategies, Parallel Ant Colony Algorithms, Parallel Estimation of Distribution Algorithms, Parallel Scatter Search, Parallel Variable
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