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An Introduction to Metaheuristics for Optimization

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Description

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies.

This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.

Détails

Autres ISBN/GTIN9783319930732
Type de produitE-book
ReliureE-book
FormatPDF
Indications sur le formatfiligrane
Date de parution02.11.2018
Edition1st ed. 2018
SérieNatural Computing Series
Pages226 pages
LangueAnglais
IllustrationsXII, 226 p. 44 illus. in color.
N° article16893023
CataloguesVC
Source des données n°2359621
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Série

Auteur

Bastien Chopard is a professor in the Département d'informatique of the Université de Genève, where he directs the Scientific and Parallel Computing Group. His main research activity concerns the study of complex systems, in particular the development of new numerical methods to model and simulate phenomena in natural sciences, economics, social systems, and biomedical applications, the key tools used being cellular automata, the lattice Boltzmann method, and multiagent techniques.

Marco Tomassini is an honorary professor at the Faculty of Business and Economics of the University of Lausanne (HEC). After obtaining a PhD degree in Theoretical Chemistry working on computer simulations of condensed matter systems, he switched to Computer Science and complex systems investigations. His main research activities have since focused on parallel computing, cellular automata, evolutionary algorithms, the structure of difficult problem landscapes, complex networks, and evolutionary games.

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