An Introduction to Metaheuristics for Optimization
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 foundationa...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Edition: | 1st ed. 2018. |
Series: | Natural Computing Series,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of 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.