Practical Considerations for Simulated Annealing Implementation
Sergio Ledesma, Gabriel Avia, Raúl Sánchez · InTech eBooks · 2008
Simulated annealing is a powerful algorithm to solve global optimization problems. It has been successfully used in artificial intelligence (Russel & Norvig, 2002), and real life problems that do no have an appropriate model. There are still many aspects of simulated annealing open for research, including how to reduce the running time of the algorithm, how to optimize the cooling schedule and how to adapt the algorithm as the temperature and error change. The authors have presented several practical considerations that will help the reader to use simulated annealing to solve real life problems.