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20th International Conference, CP 2014, Lyon, France, September 8-12, 2014, Proceedings

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The cover of “Principles and Practice of Constraint Programming” - Open Library.

"Principles and Practice of Constraint Programming" is published by Springer in Aug 19, 2014 - Cham and it has 970 pages.


“Principles and Practice of Constraint Programming” Metadata:

  • Title: ➤  Principles and Practice of Constraint Programming
  • Author:
  • Number of Pages: 970
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Cham

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  • Format: paperback

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"Principles and Practice of Constraint Programming" Description:

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Intro -- Preface -- Prize-Winning Papers -- Tutorials and Workshops -- Conference Organization -- The Association for Constraint Programming -- Table of Contents -- Invited Talks -- A Modular Architecture for Hybrid Planning with Theories -- References -- Teaching Constraint Programming -- One Problem, Two Structures, Six Solvers, and Ten Years of Personnel Scheduling -- References -- Concurrent Constraint Programming Research Programmes - Redux -- References -- Best Technical Track Paper -- On Broken Triangles -- 1 Introduction -- 2 Value Merging in Binary CSP Based on the BTP -- 3 Experimental Trials -- 4 Generalising BTP-Merging to Constraints of Arbitrary Arity -- 5 A Tractable Class of General-Arity CSP -- 5.1 Directional General-Arity BTP -- 5.2 Merging -- 5.3 Tractability of DGABTP for a Known Variable Ordering -- 5.4 Finding a DGABTP Variable Ordering Is NP-Hard -- 6 Conclusion -- References -- Best Application Track Paper -- Using CP in Automatic Test Generation for ABB Robotics' Paint Control System -- 1 Introduction -- 2 Robotized Painting -- 2.1 Example of Robotized Painting -- 3 Testing the IPS -- 3.1 Continuous Integration -- 3.2 Testing in a CI Environment -- 4 CP Model of the IPS -- 4.1 Decision Variables and Domains -- 4.2 Test Scenarios -- 4.3 Avoiding Trivial and Enforcing Diversity -- 4.4 Search and Optimization -- 4.5 Search Heuristics -- 5 Implementation and Exploitation -- 5.1 Selection of CP and the CP Solver -- 5.2 Overall Implementation -- 5.3 Execution of the Model -- 5.4 Using the Flexibility of CP -- 5.5 Performance of Model -- 6 Lessons Learned and Conclusions -- 6.2 Actual Defects Found with the CP Model -- 6.3 Return on Investment with the Use of CP -- 6.4 Further Work -- References -- Best Student Paper -- On Compiling CNF into Decision-DNNF -- 1 Introduction -- 2 Technical Preliminaries

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