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Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing

  • Mikhail ProkopenkoEmail author
  • Peter Wang
Conference paper
  • 409 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11531)

Abstract

Fractals2019 started as a new experimental entry in the RoboCup Soccer 2D Simulation League, based on Gliders2d code base, and advanced to become a RoboCup-2019 champion. We employ combinatorial optimisation methods, within the framework of Guided Self-Organisation, with the search guided by local constraints. We present examples of several tactical tasks based on the Gliders2d code (version v2), including the search for an optimal assignment of heterogeneous player types, as well as blocking behaviours, offside trap, and attacking formations. We propose a new method, Dynamic Constraint Annealing, for solving dynamic constraint satisfaction problems, and apply it to optimise thermodynamic potential of collective behaviours, under dynamically induced constraints.

Notes

Acknowledgments

We thank HELIOS team for their excellent code base of agent2d, as well as several members of Gliders team contributing during 2012–2016: David Budden, Oliver Cliff, Victor Jauregui and Oliver Obst.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Complex Systems Research Group, Faculty of EngineeringThe University of SydneyCamperdownAustralia
  2. 2.Data MiningCSIRO Data61EppingAustralia

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