Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing
September 04, 2019 Β· Declared Dead Β· π Robot Soccer World Cup
"No code URL or promise found in abstract"
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Authors
Mikhail Prokopenko, Peter Wang
arXiv ID
1909.01788
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DM,
cs.MA
Citations
4
Venue
Robot Soccer World Cup
Last Checked
4 months ago
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.
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