An Introduction to Metaheuristics for Optimization
Title:
An Introduction to Metaheuristics for Optimization
Author:
Chopard, Bastien. author.
ISBN:
9783319930732
Personal Author:
Physical Description:
XII, 226 p. 44 illus. in color. online resource.
Series:
Natural Computing Series,
Contents:
Problems, Algorithms, Computational Complexity -- Search Space -- Tabu Search -- Simulated Annealing -- Ant Colony Optimization (ACO) -- Non-PSO Optimization -- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights -- Evolutionary Algorithms: Foundations -- Evolutionary Algorithms: Advanced -- Phase Transition in Optimization Problems -- Performance and Limitations of Metaheuristics -- Statistical Analysis of Research Spaces.
Abstract:
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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Electronic Access:
https://doi.org/10.1007/978-3-319-93073-2