Gotowa bibliografia na temat „Constrained cutting”

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Rozprawy doktorskie na temat "Constrained cutting"

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Oberholzer, Jan Adriaan. "Implementing artificial intelligence search methods to solve constrained two-dimensional guillotine-cut cutting stock problems / by Jan Adriaan Oberholzer." Thesis, North-West University, 2003. http://hdl.handle.net/10394/392.

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The main focus of this thesis will be on the constrained two dimensional guillotine-cut cuffing stock (C2DGC) problem. Stock cutting involves the process of cutting certain small demand items from a larger object. During this process, waste material is generated, which is called trim loss. The cutting stock problem presents itself in many industrial processes where the cutting of material is concerned, for instance the cutting of wood in the furniture industry, the cutting of glass and plastic sheets in the glass industry, the cutting of paper in the cardboard industry and the cutting of steel
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Cardozo, Arteaga Carmen. "Optimisation of power system security with high share of variable renewables : Consideration of the primary reserve deployment dynamics on a Frequency Constrained Unit Commitment model." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC024/document.

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Le placement de production (UC pour unit commitment) est une famille de problèmes d'optimisation qui déterminent l’état et la puissance de consigne des groupes de production pour satisfaire la demande électrique à moindre coût. Traditionnellement, une contrainte de sûreté détermine un certain volume de capacité raccordée disponible, appelé la réserve, destinée à gérer l'incertitude. Néanmoins, dans les petits systèmes la contrainte de réserve fixe peut entraîner dans certains cas une violation du critère N-1 bien que le volume de réserve minimale soit respecté. Plus récemment, la part croissan
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Soberanis, Policarpio Antonio. "Risk optimization with p-order conic constraints." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/437.

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My dissertation considers solving of linear programming problems with p-order conic constraints that are related to a class of stochastic optimization models with risk objective or constraints that involve higher moments of loss distributions. The general proposed approach is based on construction of polyhedral approximations for p-order cones, thereby approximating the non-linear convex p-order conic programming problems using linear programming models. It is shown that the resulting LP problems possess a special structure that makes them amenable to efficient decomposition techniques. The de
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Vitor, Fabio Torres. "Improving the solution time of integer programs by merging knapsack constraints with cover inequalities." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/19226.

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Master of Science<br>Department of Industrial and Manufacturing Systems Engineering<br>Todd Easton<br>Integer Programming is used to solve numerous optimization problems. This class of mathematical models aims to maximize or minimize a cost function restricted to some constraints and the solution must be integer. One class of widely studied Integer Program (IP) is the Multiple Knapsack Problem (MKP). Unfortunately, both IPs and MKPs are NP-hard, potentially requiring an exponential time to solve these problems. Utilization of cutting planes is one common method to improve the solution time of
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Yahiaoui, Ala-Eddine. "Selective vehicle routing problem : cluster and synchronization constraints." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2449/document.

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Le problème de tournées de véhicules (Vehicle Routing Problem - VRP) est un problème d'optimisation combinatoire utilisé généralement pour modéliser et résoudre des différents problèmes rencontrés dans les systèmes logistiques et de transport. Dans cette thèse, nous nous sommes intéressés à l'étude et la résolution d'une classe de problèmes du VRP appelée les problèmes de courses d'orientation (Team Orienteering Problem - TOP). Dans cette catégorie de problèmes, il est a priori impossible de visiter tous les clients en raison de ressources limitées. On associe plutôt un profit à chaque client
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Carvalho, Alexandre Augusto Martins. "Proposta metodologica para racionalização de ociosidade fabril /." Guaratinguetá, 2019. http://hdl.handle.net/11449/182420.

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Orientador: Marcos Valerio Ribeiro<br>Resumo: Ambientes industriais são altamente competitivos. Fatores como a agilidade, a flexibilidade, a prestação de serviços, a qualidade e preços são as vantagens competitivas procuradas pelas organizações. Neste cenário, as otimizações propostas que abordam tais fatores são de particular interesse para o planejamento de processos. O procedimento proposto tratado é o resultado líquido direto e o aumento da competitividade no mercado de uma determinada empresa, visando que sua estrutura financeira seja a mais saudável possível. Este trabalho tem como objet
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Hellman, Fredrik. "Towards the Solution of Large-Scale and Stochastic Traffic Network Design Problems." Thesis, Uppsala University, Department of Information Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-130013.

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<p>This thesis investigates the second-best toll pricing and capacity expansion problems when stated as mathematical programs with equilibrium constraints (MPEC). Three main questions are rised: First, whether conventional descent methods give sufficiently good solutions, or whether global solution methods are to prefer. Second, how the performance of the considered solution methods scale with network size. Third, how a discretized stochastic mathematical program with equilibrium constraints (SMPEC) formulation of a stochastic network design problem can be practically solved. An attempt to ans
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Abrantes, Ricardo Luiz de Andrade. "Problemas de corte com sobras aproveitáveis e eliminação de simetrias." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122012-183550/.

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No presente trabalho estudamos duas variações do problema de empacotamento de itens retangulares idênticos, permitindo rotações de 90 graus, em um poliedro. Uma variação consiste em encontrar a maior quantidade de itens retangulares idênticos que podem ser empacotados em um poliedro. A outra consiste em encontrar o poliedro de um determinado tipo com menor área para empacotar uma quantidade fixa de itens retangulares idênticos. Desenvolvemos restrições de eliminação de simetrias para estes problemas, o que tornou a resolução dos mesmos mais eficiente, por métodos do tipo branch-&-bound.
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Hokama, Pedro Henrique Del Bianco 1986. "O problema do caixeiro viajante com restrições de empacotamento tridimensional." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275722.

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Orientador: Flávio Keidi Miyazawa<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-19T18:16:55Z (GMT). No. of bitstreams: 1 Hokama_PedroHenriqueDelBianco_M.pdf: 1340789 bytes, checksum: b5cc3f26e41b90afabdfac5c7a33bf05 (MD5) Previous issue date: 2011<br>Resumo: Nesta dissertação de mestrado apresentamos um método exato para o Problema do Caixeiro Viajante com Restrições de Empacotamento Tridimensional, que combina o Problema do Caixeiro Viajante o Problema de Empacotamento Tridimensional com Restrição de Ordem. Nest
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Mesyagutov, Marat. "Exact Approaches for Higher-Dimensional Orthogonal Packing and Related Problems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-137905.

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NP-hard problems of higher-dimensional orthogonal packing are considered. We look closer at their logical structure and show that they can be decomposed into problems of a smaller dimension with a special contiguous structure. This decomposition influences the modeling of the packing process, which results in three new solution approaches. Keeping this decomposition in mind, we model the smaller-dimensional problems in a single position-indexed formulation with non-overlapping inequalities serving as binding constraints. Thus, we come up with a new integer linear programming model, which we su
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