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Dr Hatem Ahriz's Outputs (3)

An introduction to interval-based constraint processing. (2006)
Journal Article
RENKER, G. and AHRIZ, H. 2006. An introduction to interval-based constraint processing. Archives of control sciences, 16(2), pages 161-190.

Constraint programming is often associated with solving problems over finite domains. Many applications in engineering, CAD and design, however, require solving problems over continuous (real-valued) domains. While simple constraint solvers can solve... Read More about An introduction to interval-based constraint processing..

Modifying landscapes with penalties in iterative improvement for solving distributed constraint satisfaction problems. (2006)
Thesis
BASHARU, M.B. 2006. Modifying landscapes with penalties in iterative improvement for solving distributed constraint satisfaction problems. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2807293

The recent growth of the internet and distributed computing facilitated by the internet has created more opportunities for collaboration between individuals and organisations. These new forms of collaborative activity put groups of participants in si... Read More about Modifying landscapes with penalties in iterative improvement for solving distributed constraint satisfaction problems..

Stoch-DisPeL: exploiting randomisation in DisPeL. (2006)
Presentation / Conference Contribution
BASHARU, M., ARANA, I. and AHRIZ, H. 2006. Stoch-DisPeL: exploiting randomisation in DisPeL. Presented at the 7th International workshop on distributed constraint reasoning (DCR 2006), part of the 5th International joint conference on autonomous agents and multiagent systems (AAMAS 2006), 8-12 May 2006, Hakodate, Japan.

We present Stoch-DisPeL, an extension of the distributed constraint programming algorithm DisPeL which incorporates randomisation into the algorithm. We justify the introduction of stochastic moves and analyse its performance on random DisCSPs and on... Read More about Stoch-DisPeL: exploiting randomisation in DisPeL..