Titlebook: Hybrid Optimization; The Ten Years of CPA Pascal van Hentenryck,Michela Milano Book 2011 Springer Science+Business Media, LLC 2011

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Constraint Programming and Local Search Hybrids,ed to form hybrid optimization techniques. This chapter describes and compares a number of these works, with the goal of giving a clear picture of research in this domain.We close with some open topics for the future.

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Learning in Search, such as mixed-integer programming, constraint programming, and those used for satisfaction problems. Instead of being exhaustive, we will concentrate on some of the most exciting advances. In particular, we will focus on pseudo-cost strategies used in general-purpose mixed-integer programming solve

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Connections and Integration with SAT Solvers: A Survey and a Case Study in Computational Biology,ntense and successful work during the past decade, and SAT solvers have reached a spectacular maturity. This chapter gives a brief overview of the relevant literature on modern SAT solvers and on the recent efforts to better integrate Boolean reasoning with other constraint satisfaction techniques.

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Bioinformatics: A Challenge to Constraint Programming,and challenges for both areas. This paper overviews some of these issues, with an emphasis on those that seem most amenable to constraint programming (CP) approaches and where CP has made some progress. Since bioinformatics is tightly focused on real-life applications, this paper does not expand on

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Stimuli Generation for Functional Hardware Verification with Constraint Programming, largest and most important industrial application of constraint programming. We provide a thorough introduction to the application domain, aimed at people unfamiliar with this area. We show the sources of constraints and the unique aspects of the constraint satisfaction problems (CSPs) arising in t