Abstract
We consider an ant-based algorithm for binary bridge selection, and analyze its convergence properties with the help of techniques from the theory of stochastic approximations.
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Makowski, A.M. (2008). The Binary Bridge Selection Problem: Stochastic Approximations and the Convergence of a Learning Algorithm. 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_15
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DOI: https://doi.org/10.1007/978-3-540-87527-7_15
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