An Introduction to Metaheuristics for Optimization
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Beschreibung
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.
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.
Accessible introduction, suitable for students and for self-study Assumes basic computing skills only as a prerequisite Authors are interdisciplinary researchers, and they bring this into their approach
Autor*in
Bastien Chopard
Themen in »An Introduction to Metaheuristics for Optimization«
Tabu Search Simulated Annealing Ant Colony Optimization Evolutionary Algorithms (EAs) Evolutionary Computing (EC) Optimization Metaheuristics
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“I would recommend this book for students in the area of operations research, but also for students and professionals from other fields (like natural sciences or social sciences) who would like not only to apply metaheuristics to solve the problems … but also to understand how they work.” (Marcin Anholcer, zbMATH 1427.90001, 2020)
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