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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Jump to: 2012 | 2008 | 2007 | 2005 | 2004
Number of items: 7.

2012

Dicken, L. and Gregory, P. and Levine, J. (2012) Abstraction through clustering : complexity reduction in automated planning domains. International Journal of Data Mining, Modelling and Management, 4 (2). 123 - 137.

2008

Gregory, P. and Fox, M. and Long, D. (2008) A new empirical study of weak backdoors. In: 14th International Conference on Principles and Practice of Constraint Programming, 2008-09-01.

2007

Donaldson, A. and Gregory, P. and Petrie, K.; Benhamou, Frédéric and Jussien, Narendra and O'Sullivan, Barry A., eds. (2007) Symmetry in constraint satisfaction problems. In: Trends in Constraint Programming. ISTE - John Wiley & Sons, London, UK, pp. 183-218.

Gregory, Peter and Long, Derek and Fox, Maria; Ruml, W. and Miguel, I., eds. (2007) A meta-CSP model for optimal planning. In: Seventh Symposium on Abstraction, Reformulation and Approximation (SARA), 2007-07-18 - 2007-07-21.

2005

Donaldson, A.F. and Gregory, P. (2005) Almost-Symmetry in Search. University of Glasgow.

2004

Gregory, Peter and Miller, Alice and Prosser, Patrick (2004) Solving the rehearsal problem with planning and model checking. In: Proceedings of ECAI'04 Workshop on Modelling and Solving Problems with Constraints, 2004-08-22 - 2004-08-27.

Gregory, P. and Cresswell, S. and Long, D. and Porteous, J.; Harvey, W. and Kiziltan, Z., eds. (2004) On the extraction of disjunctive landmarks from planning problems via symmetry reduction. In: Proceedings of SymCon'04. Springer, pp. 34-41.

This list was generated on Fri Mar 1 17:16:45 2024 GMT.