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Simulated Annealing
Edited by Cher Ming Tan, ISBN 978-953-7619-07-7, Hard cover, 420 pages, Publisher: InTech, Published: September 01, 2008 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/67
This book provides the readers with the knowledge of Simulated Annealing and its vast applications in the various branches of engineering. We encourage readers to explore the application of Simulated Annealing in their work for the task of optimization.
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Book contents
- Chapter 1Simulated Annealing as an Intensification Component in Hybrid Population-based Metaheuristics
- Chapter 2Multi-Objective Simulated Annealing for a Maintenance Workforce Scheduling Problem: A Case Study
- Chapter 3Using Simulated Annealing for Open Shop Scheduling with Sum Criteria
- Chapter 4Real Time Multiagent Decision Making by Simulated Annealing
- Chapter 5Learning FCM with Simulated Annealing
- Chapter 6Knowledge-Informed Simulated Annealing for Spatial Allocation Problems
- Chapter 7An Efficient Quasi-Human Heuristic Algorithm for Solving the Rectangle-Packing Problem
- Chapter 8Application of Simulated Annealing to Routing Problems in City Logistics
- Chapter 9Theory and Applications of Simulated Annealing for Nonlinear Constrained Optimization
- Chapter 10Annealing Stochastic Approximation Monte Carlo for Global Optimization
- Chapter 11Application of Simulated Annealing on the Study of Multiphase Systems
- Chapter 12Simulated Annealing for Mixture Distribution Analysis and its Applications to Reliability Testing
- Chapter 13Reticle Floorplanning and Simulated Wafer Dicing for Multiple-Project Wafers by Simulated Annealing
- Chapter 14Structural Optimization Using Simulated Annealing
- Chapter 15Optimization of Reinforced Concrete Structures by Simulated Annealing
- Chapter 16Best Practices for Simulated Annealing in Multiprocessor Task Distribution Problems
- Chapter 17Simulated Annealing of Two Electron Density Solution Systems
- Chapter 18Improving the Neighborhood Selection Strategy in Simulated Annealing Using the Optimal Stopping Problem
- Chapter 19A Comparison of Simulated Annealing, Elliptic and Genetic Algorithms for Finding Irregularly Shaped Spatial Clusters
- Chapter 20Practical Considerations for Simulated Annealing Implementation
