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Parallel Simulated Annealing for Bicriterion Optimization Problems

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Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

A parallel simulated annealing algorithm to solve the vehicle routing problem with time windows is proposed. It is a complex bicriterion optimization problem in which both the number of vehicles and the total distance traveled by vehicles should be minimized. The aim is to establish the best possible solutions to the well-known instances of the problem by using parallelism. The empirical tests show that parallel simulated annealing can solve effectively bicriterion optimization problems.

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Czarnas, P., Czech, Z.J., Gocyła, P. (2004). Parallel Simulated Annealing for Bicriterion Optimization Problems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_30

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

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