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Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; First International Jean-Charles Rég

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978-3-540-21836-4Springer-Verlag Berlin Heidelberg 2004
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0302-9743 Overview: 978-3-540-21836-4978-3-540-24664-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468818.jpg
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Using MILP and CP for the Scheduling of Batch Chemical Processesing is used for the high-level optimization decisions (number and type of tasks, and assignment of equipment units to tasks), and Constraint Programming is used for the low-level sequencing decisions. The original problem is decomposed into an MILP master problem and a CP subproblem. The master MILP
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Simple Rules for Low-Knowledge Algorithm Selection. Our goal is to reduce the expertise needed to apply constraint technology. Therefore, we investigate simple rules that make predictions based on limited problem instance knowledge. Our results indicate that it is possible to achieve superior performance over choosing the algorithm that performs be
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