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Optimized Scheduling of Medical Appointment Sequences using Constraint Programming.- An integrated optimisation method for aluminium hot rolling.- Determining the Most Promising Selective Backbone Size for Partial Knowledge Compilation.- Leveraging Quantum Computing for Accelerated Classical Algorithms in Power Systems Optimization.- Hybridizing Machine Learning and Optimization for Planning Satellite Observations.- Algorithm Configuration in Sequential Decision-Making.- Self-Supervised Penalty-Based Learning for Robust Constrained Optimization.- Revisiting Pseudo-Boolean Encodings from an Integer Perspective.- Multi-task Representation Learning for Mixed Integer Linear Programming.- Breaking the Symmetries of Indistinguishable Objects.- Tackling Symmetry Breaking as a Symbolic Set Cover.- Modeling and Solving the Generalized Test Laboratory Scheduling Problem.- Parallelising Lazy Clause Generation with Trail Sharing.- Learning Primal Heuristics for 0–1 Knapsack Interdiction Problems.- Bounded-Error Policy Optimization for Mixed Discrete-Continuous MDPs via Constraint Generation in Nonlinear Programming.- Minimising Source-Plate Swaps for Robotised Compound Dispensing in Microplates.

Integration of Constraint Programming Artificial

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A Paperback by Guido Tack

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    View other formats and editions of Integration of Constraint Programming Artificial by Guido Tack

    Publisher: Springer
    Publication Date: 7/22/2025
    ISBN13: 9783031959721, 978-3031959721
    ISBN10: 3031959728
    Also in:
    Maths for computer scientists

    Description

    Book Synopsis

    Optimized Scheduling of Medical Appointment Sequences using Constraint Programming.- An integrated optimisation method for aluminium hot rolling.- Determining the Most Promising Selective Backbone Size for Partial Knowledge Compilation.- Leveraging Quantum Computing for Accelerated Classical Algorithms in Power Systems Optimization.- Hybridizing Machine Learning and Optimization for Planning Satellite Observations.- Algorithm Configuration in Sequential Decision-Making.- Self-Supervised Penalty-Based Learning for Robust Constrained Optimization.- Revisiting Pseudo-Boolean Encodings from an Integer Perspective.- Multi-task Representation Learning for Mixed Integer Linear Programming.- Breaking the Symmetries of Indistinguishable Objects.- Tackling Symmetry Breaking as a Symbolic Set Cover.- Modeling and Solving the Generalized Test Laboratory Scheduling Problem.- Parallelising Lazy Clause Generation with Trail Sharing.- Learning Primal Heuristics for 0–1 Knapsack Interdiction Problems.- Bounded-Error Policy Optimization for Mixed Discrete-Continuous MDPs via Constraint Generation in Nonlinear Programming.- Minimising Source-Plate Swaps for Robotised Compound Dispensing in Microplates.

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