2016
DOI: 10.1007/978-3-319-33954-2_19
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A Stochastic Continuous Optimization Backend for MiniZinc with Applications to Geometrical Placement Problems

Abstract: MiniZinc is a solver-independent constraint modeling language which is increasingly used in the constraint programming community. It can be used to compare different solvers which are currently based on either Constraint Programming, Boolean satisfiability, Mixed Integer Linear Programming, and recently Local Search. In this paper we present a stochastic continuous optimization backend for MiniZinc models over real numbers. More specifically, we describe the translation of FlatZinc models into objective functi… Show more

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“…These packing problems are encountered in automotive and perfume industries. The results are promising and details are in [4,5].…”
Section: Handling Curve Shapes With Cma-es Algorithmsmentioning
confidence: 95%
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“…These packing problems are encountered in automotive and perfume industries. The results are promising and details are in [4,5].…”
Section: Handling Curve Shapes With Cma-es Algorithmsmentioning
confidence: 95%
“…The project Net-WMS2, lead by the team Lifeware at INRIA, aims to carry out many studies for complex objects, amongst which solving curve shapes. In addition to packing problems for squares, circles, triangles and polygons [5], we consider continuous packing problems with curve shapes [4]; mixing various shapes and mixing three dimensional packing problems, mixing boxes, spheres and cylinders. On square packing problems, exact methods have been used to find optimal solutions and prove optimality.…”
Section: Handling Curve Shapes With Cma-es Algorithmsmentioning
confidence: 99%