Experiential Solving: Towards a Unified Autonomous Search Constraint Solving Approach
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-21380-4_97
Reference11 articles.
1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);C Castro,2005
2. Crawford, B., Soto, R., de la Barra, C.L., Crawford, K., Paredes, F., Johnson, F.: A better understanding of the behaviour of metaheuristics: a psychological view. In: Stephanidis [10], pp. 515–518
3. Crawford, B., Soto, R., Monfroy, E., Palma, W., Castro, C., Paredes, F.: Parameter tuning of a choice-function based hyperheuristic using particle swarm optimization. Expert Syst. Appl. 40(5), 1690–1695 (2013)
4. Crawford, B., Soto, R., Olivares, R., Herrera, R., Monfroy, E., Paredes, F.: Autonomous search: towards the easy tuning of constraint programming solvers. In: Stephanidis [10], pp. 165–168
5. Hamadi, Y., Monfroy, E., Saubion, F.: Autonomous Search. Springer, Heidelberg (2012)
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