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AntLib v1.0: A Generic C++ Framework for Ant Colony Optimization

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Ant Colony Optimization and Swarm Intelligence (ANTS 2008)

Abstract

This paper introduces AntLib, an Ant Colony Optimization (ACO) framework. C++ developed; it is a generic framework that can be applied with almost no adaptations to any combinatorial optimization problem. AntLib is a reusable object oriented framework, based on several well known design patterns [2].

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References

  1. Dorigo, M., Stützle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)

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  2. Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elements of Reusable Object-Oriented Software. Pearson Education, London (1995)

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  3. Musser, D.R., Saini, A.: STL Tutorial and Reference Guide: C++ Programming with the Standard Template Library. Addison-Wesley, Reading (1996)

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Marco Dorigo Mauro Birattari Christian Blum Maurice Clerc Thomas Stützle Alan F. T. Winfield

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© 2008 Springer-Verlag Berlin Heidelberg

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Diego Martín, F.J., González Manteca, J.Á., Carrasco-Gallego, R., Carrasco Arias, J. (2008). AntLib v1.0: A Generic C++ Framework for Ant Colony Optimization. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2008. Lecture Notes in Computer Science, vol 5217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87527-7_43

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  • DOI: https://doi.org/10.1007/978-3-540-87527-7_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87526-0

  • Online ISBN: 978-3-540-87527-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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