Future Generation Computer Systems
Tabu Search
The Traveling Tournament Problem Description and Benchmarks
CP '01 Proceedings of the 7th International Conference on Principles and Practice of Constraint Programming
Constraint Processing
Ant Colony Optimization
A simulated annealing approach to the traveling tournament problem
Journal of Scheduling
A composite-neighborhood tabu search approach to the traveling tournament problem
Journal of Heuristics
Population-based simulated annealing for traveling tournaments
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Solution-guided multi-point constructive search for job shop scheduling
Journal of Artificial Intelligence Research
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Solving the traveling tournament problem with iterative-deepening A*
Journal of Scheduling
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The traveling tournament problem has proven to be a difficult problem for the ant colony optimization metaheuristic, with past approaches showing poor results. This is due to the unusual problem structure and feasibility constraints. We present a new ant colony optimization approach to this problem, hybridizing it with a forward checking and conflict-directed backjumping algorithm while using pattern matching and other constraint satisfaction strategies. The approach improves on the performance of past ant colony optimization approaches, finding better quality solutions in shorter time, and exhibits results comparable to other state-of-the-art approaches.