Simulated Annealing - Advances, Applications and Hybridizations

Edited by Marcos S.G. Tsuzuki

in Books from IntechOpen

Abstract: Simulated Annealing is a probabilistic meta-heuristic that is based on statistical mechanics: while at high temperatures molecules in a liquid move freely, the slow reduction of temperature decreases the thermal mobility of the molecules. The final state forms a pure crystal which also corresponds to a state of minimum energy. We encourage readers to explore SA in their work, mainly because it is simple and because it can yield very good results.

JEL-codes: C10 (search for similar items in EconPapers)
Date: 2012
ISBN: 978-953-51-0710-1
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Chapters in this book:

A Simulated Annealing Algorithm for the Satisfiability Problem Using Dynamic Markov Chains with Linear Regression Equilibrium

Felix O Martinez-Rios and Juan Frausto-Solis

Adaptive Neighborhood Heuristics for Simulated Annealing over Continuous Variables

Andre K. Sato, Thiago C. Martins and Marcos S.G. Tsuzuki

Applications of Simulated Annealing-Based Approaches to Electric Power Systems

Yann-Chang Huang, Huo-Ching Sun and Kun-Yuan Huang

Bayesian Recovery of Sinusoids with Simulated Annealing

Dursun Ustundag and Mehmet Cevri

Design of Analog Integrated Circuits using Simulated Annealing/Quenching with Crossovers and Particle Swarm Optimization

Tiago Weber and Wilhelmus Adrianus Maria Van Noije

Fuzzy c-Means Clustering, Entropy Maximization, and Deterministic and Simulated Annealing

Makoto Yasuda

Genetic Algorithm and Simulated Annealing: A Combined Intelligent Optimization Method and Its Application to Subsynchronous Damping Control in Electrical Power Transmission Systems

Xiaorong Xie

Improvements in Simulated Quenching Method for Vehicle Routing Problem with Time Windows by Using Search History and Devising Means for Reducing the Number of Vehicles

Hisafumi Kokubugata, Yuji Shimazaki, Shuichi Matsumoto, Hironao Kawashima and Tatsuru Daimon

Lot Sizing and Scheduling in Parallel Uniform Machines - A Case Study

Fernando Charrua-Santos, Francisco Brojo and Pedro Vilarinho

Optimization by Use of Nature in Physics Beyond Classical Simulated Annealing

Masayuki Ohzeki

Simulated Annealing Evolution

Sergio Ledesma, Jose Ruiz and M. G. Garcia-Hernandez

Simulated Annealing: A Novel Application of Image Processing in the Wood Area

Cristhian Aguilera-Carrasco, Mario Ramos-Maldonado and Angel D. Sappa

Use of Simulated Annealing Algorithms for Optimizing Selection Schemes in Farm Animal Populations

Edo DAgaro

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:2399

DOI: 10.5772/3326

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