Panorama of real-life applications in logistics embedding bin packing optimization algorithms, robotics and cloud computing technologies

International audienceIn this paper, we are interested in one hand to review a set of problems encountered in logistics, and in a second hand to highlight the contribution of Constraint Programming, Metaheuristics and numerical solvers using non-linear inequalities in solving them. One of the objectives is to address a panorama of bin packing applications in logistics and their embedding in cloud computing

CP debugging needs and tools

Conventional programming techniques are not well suited for solving many highly combinatorial industrial problems, like scheduling, decision making, resource allocation or planning. Constraint Programming (CP), an emerging software technology, offers an original approach allowing for efficient and flexible solving of complex problems, through combined implementation of various constraint solvers and expert heuristics. Its applications are increasingly elded in various industries

CP debugging tools: Clarification of functionalities and selection of the tools

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Extending CHIP in order to Solve Complex Scheduling and Placement Problems

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Network flow problems in constraint programming

Colloque avec actes et comité de lecture. internationale.International audienceWe introduce a new global constraint for modeling and solving network flow problems in constraint programming. We describe the declarative and operational semantics and illustrate its use through a number of applications

Integrating rule-based modelling and constraint programming for solving industrial packing problems

Packing items in bins is an old but nevertheless challenging combinatorial problem with numerous applications in industry. We report on an original approach based on constraint programming and rule-based modelling, which has been investigated in the framework of the FP6 ‘specific targeted research project’ Net-WMS (Towards integrating virtual reality and optimization techniques in a new generation of Networked businesses in Warehouse Management Systems under constraints). It has applications in the automotive industry

Packing with Complex Shapes

International audienceConstraint programming methods can be used to solve hard geometric placement and packing problems such as those encountered in the operational logistics and in the conception of packing plans

On Solving Mixed Shapes Packing Problems by Continuous Optimization with the CMA Evolution Strategy

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