Hybrid Optimization [electronic resource] : The Ten Years of CPAIOR /
International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimisation Problems.
van Hentenryck, Pascal.editor.
Milano, Michela.editor.
This volume focuses on the integration of artificial intelligence and constraint programming to solve problems in operations research and combinatorial optimization. This volume collects the contributions of experts from various research areas including decision theory, systems engineering, propositional satisfiability, mathematical optimization, and artificial intelligence. These invited scholars describe and demonstrate some of the most important topics and results from the last ten years of research related to hybrid optimization. Key Features: - Includes both well established research results, and directions for future research. - Provides several solution methods for common combinatorial optimization and decision problems. - Presents both theoretical techniques and real-world applications in artificial intelligence and operations research. Hybrid Optimization can serve as a valuable resource for graduate students, researchers and practitioners studying artificial intelligence or operations research who are interested in investigating or applying constraint programming techniques.
Description based upon print version of record.
""Hybrid Optimization""; ""Preface""; ""Contents""; ""Contributors""; ""The Ten Years of CPAIOR: A Success Story""; ""Hybrid Modeling""; ""Global Constraints: A Survey""; ""Decomposition Techniques for Hybrid MILP/CP Models applied to Scheduling and Routing Problems""; ""Hybrid Solving Techniques""; ""Over-Constrained Problems""; ""A Survey on CP-AI-OR Hybrids for Decision Making Under Uncertainty""; ""Constraint Programming and Local Search Hybrids""; ""Hybrid Metaheuristics""; ""Learning in Search""; ""What Is Autonomous Search?""; ""Software Tools Supporting Integration""
""Connections and Integration with SAT Solvers: A Survey and a Case Study in Computational Biology""""Bioinformatics: A Challenge to Constraint Programming""; ""Sports Scheduling""; ""Stimuli Generation for Functional Hardware Verification with Constraint Programming""
Includes bibliographical references.
This volume focuses on the integration of artificial intelligence and constraint programming to solve problems in operations research and combinatorial optimization. This volume collects the contributions of experts from various research areas including decision theory, systems engineering, propositional satisfiability, mathematical optimization, and artificial intelligence. These invited scholars describe and demonstrate some of the most important topics and results from the last ten years of research related to hybrid optimization. Key Features: - Includes both well established research results, and directions for future research. - Provides several solution methods for common combinatorial optimization and decision problems. - Presents both theoretical techniques and real-world applications in artificial intelligence and operations research. Hybrid Optimization can serve as a valuable resource for graduate students, researchers and practitioners studying artificial intelligence or operations research who are interested in investigating or applying constraint programming techniques.
Mathematical optimization.
Artificial intelligence.
Operations research.
Management science.
Computational intelligence.
Optimization.
Artificial Intelligence.
Operations Research, Management Science.
Computational Intelligence.
Springer optimization and its applications