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Description
| - This contribution presents a new formulation of a classical Branch and Bound method to find global optima of size optimization benchmarks. In our previous procedure, the brunching was done at an assignment of areas to the trusses, i.e. we have been solving the problem in the integer manner. However, the classical method requires a model with convex objectives and constraints, which was not the case. To convert the non-convex problem to the convex one, a relaxation of some variables is necessary. Original design variables – cross-section areas on truss-bars are converted to the binary design variables with the meaning whether a cross-section area is presented on the respective truss-bar or not. This problem is relaxed and gives us the lower bound. Moreover, a parallel version of the classical Branch and Bound algorithm was implemented, where the upgrades of the lower and upper bounds are broadcasted among individual processes. This algorithm was used to compute the global optimum for our 5-bar truss and for the frequently used 25-bar truss benchmark and the global optima were obtained.
- This contribution presents a new formulation of a classical Branch and Bound method to find global optima of size optimization benchmarks. In our previous procedure, the brunching was done at an assignment of areas to the trusses, i.e. we have been solving the problem in the integer manner. However, the classical method requires a model with convex objectives and constraints, which was not the case. To convert the non-convex problem to the convex one, a relaxation of some variables is necessary. Original design variables – cross-section areas on truss-bars are converted to the binary design variables with the meaning whether a cross-section area is presented on the respective truss-bar or not. This problem is relaxed and gives us the lower bound. Moreover, a parallel version of the classical Branch and Bound algorithm was implemented, where the upgrades of the lower and upper bounds are broadcasted among individual processes. This algorithm was used to compute the global optimum for our 5-bar truss and for the frequently used 25-bar truss benchmark and the global optima were obtained. (en)
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Title
| - Parallel Branch and Bound Method for Size Optimization Benchmarks
- Parallel Branch and Bound Method for Size Optimization Benchmarks (en)
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skos:prefLabel
| - Parallel Branch and Bound Method for Size Optimization Benchmarks
- Parallel Branch and Bound Method for Size Optimization Benchmarks (en)
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skos:notation
| - RIV/68407700:21110/13:00205079!RIV14-GA0-21110___
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http://linked.open...avai/predkladatel
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21110/13:00205079
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - branch and bound method; size optimization; benchmarks; global optima; mixed-integer linear problem; big-M problem; parallel computing (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Lepš, Matěj
- Pospíšilová, Adéla
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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issn
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number of pages
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http://bibframe.org/vocab/doi
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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