Abstract
Simulated annealing is one of the most popular metaheuristic optimization techniques used in engineering and management to solve combinatorial problems. The algorithm is inspired by the thermodynamic process that occurs in the annealing treatment in metallurgy. Although it is simple to implement, its general operating mechanism and the rationale behind the search strategy are not always that intuitive. In this work, we present a teaching tool implemented in NetLogo that illustrates the metaphor of both processes and the effect of annealing cooling schedules on the quality of the solutions obtained.
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Acknowledgements
The authors gratefully acknowledge financial support from the Ministry of Science, Innovation and Universities (RED2018-102518-T and PGC2018-098186-B-I00), the Spanish Research Agency (PID2020-118906GB-I00/AEI/10.13039/501100011033) and la Fundación la Caixa (2020/00062/001).
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Santos, J.I., Pereda, M., Ahedo, V., Galán, J.M. (2023). NetLogo Teaching Tool to Illustrate the Cooling Process in Simulated Annealing Using the Metropolis Model. In: Izquierdo, L.R., Santos, J.I., Lavios, J.J., Ahedo, V. (eds) Industry 4.0: The Power of Data. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-29382-5_3
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DOI: https://doi.org/10.1007/978-3-031-29382-5_3
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