An Introduction to Metaheuristics for Optimization (Natural Computing Series)

An Introduction to Metaheuristics for Optimization (Natural Computing Series)

by Marco Tomassini (Author), Bastien Chopard (Author), Marco Tomassini (Author), Bastien Chopard (Author)

Synopsis

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.

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More Information

Format: Hardcover
Pages: 238
Edition: 1st ed. 2018
Publisher: Springer
Published: 13 Nov 2018

ISBN 10: 3319930729
ISBN 13: 9783319930725

Author Bio

Bastien Chopard is a professor in the Departement d'informatique of the Universite de Geneve, 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.