Simulated Annealing: Strategies, Potential Uses and Advantages


Marcos de Sales Guerra Tsuzuki, PhD and Thiago de Castro Martins, PhD (Editors)
Escola Politecnica, Sao Paulo University, Sao Paulo, Brazil

Series: Mathematics Research Developments
BISAC: MAT000000

This book presents state of the art contributions to Simulated Annealing (SA), a well-known probabilistic meta-heuristic. It contains nine chapters explaining SA key concepts, constraint optimization, hybrid SA combined with other techniques and applications including aircraft design, molecule reconstruction, spacecraft trajectory, thermodynamics, truck scheduling and marine protected design scenarios. (Imprint: Nova)



Table of Contents


About the Editors

Chapter 1. Simulated Annealing: In Mathematical Global Optimization Computation, Hybrid with Local or Global Search, and Practical Applications in Crystallography and Molecular Modelling of Prion Amyloid Fibrils
Jiapu Zhang (The University of Ballarat, Australia)

Chapter 2. Handling Equality and Inequality Linear Constraints in Simulated Annealing
Danilo R. Velis (Universidad Nacional de La Plata, Argentina)

Chapter 3. Aircraft Design with Simulated Annealing for SAE AeroDesign Competition
Diego Movio Borburema, Marcos de Sales Guerra Tsuzuki, Antonio Luis de Campos Mariani and André Kubagawa Sato (Thiago de Castro Martins, Universidade de São Paulo, Brazil)

Chapter 4. Simulated Annealing Applied to the Resolution of Phylogenetic Reconstruction with Maximum Parsimony
Jean-Michel Richer, Karla E. Vazqauez-Ortiz and David Lesaint (Université d’Angers, France)

Chapter 5. Improved Parallel Simulated Annealing Applied to Spacecraft Trajectory Optimization
Ya-Zhong Luo and Guo-Jin Tang (National University of Defense Technology)

Chapter 6. Simulated Annealing Applications in Thermodynamic Calculations
Ahmed O. Elnabawy, Seif-Eddeen K. Fateen and Adrian Bonilla-Petriciolet (Cairo University, Egypt)

Chapter 7. SA Optimization of Two-Chamber Mufflers Equipped with Multiple Parallel Perforated Tubes within a Constrained Space
Min-Chie Chiu and Chung Chou (University of Science and Technology, Taiwan)

Chapter 8. A Simulated Annealing Algorithm to Solve the Log-Truck Scheduling Problem
Mauricio Acuna and John Sessions (University of the Sunshine Coast, Australia)

Chapter 9. Potential Applications of Simulated Annealing to Multi-Species Fish Habitat Conservation in the Gulf of Maine
Rosamonde R. Cook and Peter J. Auster (University of Connecticut, USA)


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