By Frédéric Benhamou, Narendra Jussien, Barry A. O'Sullivan
This name brings jointly the simplest papers on a variety of themes raised on the annual overseas convention on rules and perform of Constraint Programming. This convention presents papers and workshops which produce new insights, recommendations and effects which could then be utilized by these considering this zone to enhance their very own paintings.
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Additional resources for Trends in Constraint Programming
John Hooker once said in a panel that global optimization was one of the areas in which constraint programming had the most impact. Just do it, then clean up the mess: I spent the second part of my sabbatical in Marseilles. I explained our results to Fr´ed´eric Benhamou and he was not happy about the description of the techniques: we were not formalizing them clearly enough. We worked together on resolving this issue and came up with the concept of box consistency. Once again, it was a declarative specification of the filtering and it helped subsequent algorithmic developments.
He really loved research and, after his stay at Brown, applied to the “fonds national de la recherche scientifique”, the Belgian counterpart to the French CNRS. I got lucky: he was rejected and had to choose exile and settle for a PhD at Brown University. Laurent and I have been working together on many projects ever since: Numerica, Localizer, OPL, and Comet. Laurent has no fear of trying new technologies, which has helped each of these projects substantially. Epilogue: I do not want to leave the Numerica project without mentioning some of the subsequent developments.
It is also a good development for ILOG as it forces ILOG to focus again on core performance which will help ILOG’s customers. The future at ILOG will be to develop ILOG CP that will replace ILOG Solver and ILOG Scheduler. NET, and OPL. A first beta was released in December 2006. 2. System design: taking informed decisions (Christian Schulte) The creation of a system is a complex process that must be approached methodically to be successful. System research is not different from any other 46 Trends in Constraint Programming type of research and success is contingent on the ability to explore the design space systematically and evaluate design alternatives according to specific quality criteria to produce and publish informed decisions with all the supporting evidence.