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Integration of Constraint Programming and Metaheuristics

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Abstraction, Reformulation, and Approximation (SARA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4612))

Abstract

Our research is focused on developing hybrid solvers for Combinatorial Optimization Problems. We are concerned with the design of hybrid resolution approaches including Constraint Programming and Metaheuristics. We have been working on that area during the last years, exploring the different issues involved in algorithm design, implementation, tuning and experimental evaluation. We provide an overview of the research we have completed as well as of the future work.

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References

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Ian Miguel Wheeler Ruml

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© 2007 Springer-Verlag Berlin Heidelberg

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Crawford, B., Castro, C., Monfroy, E. (2007). Integration of Constraint Programming and Metaheuristics. In: Miguel, I., Ruml, W. (eds) Abstraction, Reformulation, and Approximation. SARA 2007. Lecture Notes in Computer Science(), vol 4612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73580-9_33

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  • DOI: https://doi.org/10.1007/978-3-540-73580-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73579-3

  • Online ISBN: 978-3-540-73580-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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