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Metaheuristics: From Design to Implementation (Wiley Series on Parallel and Distributed Computing) de Talbi
Descripción - Críticas 'It will be an indispensable text for advanced undergraduate and graduate students in computer science, operations research, applied mathematics, control, business and management and engineering.' (Zentralblatt MATH, 2010) Reseña del editor A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics. Contraportada A UNIFIED VIEW OF METAHEURISTICS This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics. Biografía del autor EL-GHAZALI TALBI is a full Professor in Computer Science at the University of Lille (France), and head of the optimization group of the Computer Science Laboratory (L.I.F.L.). His current research interests are in the fields of metaheuristics, parallel algorithms, multi-objective combinatorial optimization, cluster and grid computing, hybrid and cooperative optimization, and application to bioinformatics, networking, transportation, and logistics. He is the founder of the conference META (International Conference on Metaheuristics and Nature Inspired Computing), and is head of the INRIA Dolphin project dealing with robust multi-objective optimization of complex systems.
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Detalles del Libro
- Name: Metaheuristics: From Design to Implementation (Wiley Series on Parallel and Distributed Computing)
- Autor: Talbi
- Categoria: Libros,Ciencias, tecnología y medicina,Matemáticas
- Tamaño del archivo: 15 MB
- Tipos de archivo: PDF Document
- Idioma: Español
- Archivos de estado: AVAILABLE
LIBRO Metaheuristics: From Design to Implementation (Wiley Series on Parallel and Distributed Computing) de Talbi PDF ePub
Más detalles sobre el plan de estudios siam journal on scientific computing vol 193, pp 9951023 1998 e chow parallel implementation and practical use of sparse approximate inverse preconditioners with a priori sparsity patterns international journal of high performance computing, vol 15 pp 5674, 2001 a Benjamín barán cegla wikipedia, la enciclopedia libre benjamín barán cegla es un científico, ingeniero electrónico y profesor paraguayo doctor en ciencias, en ingeniería de sistemas y computación de la universidad federal de río de janeiro coppeufrjespecialidad computación paralela y distribuida río de janeiro, brasil 1993 es columnista científico del diario especializado ciencia del sur con más de un centenar de trabajos Complete issue 93 micai exploredoc neurocomputing 71, 19131920 2008 17 wagner, j, vogt, t, andre, e a systematic comparison of different hmm designs for emotion recognition from acted and spontaneous speech affective computing and intelligent interaction, series lecture notes in computer science 4738, 114 125 2007 18
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