Zobrazeno 1 - 10
of 95 678
pro vyhledávání: '"Mixed-Integer Linear Programming"'
Autor:
Yudha, Adithya1 adithyayudha@gmail.com, Yunita, Irni1 irniyunita@telkomuniversity.ac.id
Publikováno v:
Journal Research of Social Science, Economics & Management. 2024 Special Issue, Vol. 4 Issue 3, p318-338. 21p.
Autor:
Ágoston, Kolos Cs.1 (AUTHOR) kolos.agoston@uni-corvinus.hu, E.-Nagy, Marianna2 (AUTHOR)
Publikováno v:
Central European Journal of Operations Research. Mar2024, Vol. 32 Issue 1, p11-27. 17p.
Autor:
Pal, Adittya, Fagerberg, Rolf, Andersen, Jakob Lykke, Flamm, Christoph, Dittrich, Peter, Merkle, Daniel
Finding pathways that optimize the formation of a particular target molecule in a chemical reaction network is a key problem in many settings, including reactor systems. Reaction networks are mathematically well represented as hypergraphs, a modeling
Externí odkaz:
http://arxiv.org/abs/2411.15900
Mixed Integer Linear Programs (MILPs) are highly flexible and powerful tools for modeling and solving complex real-world combinatorial optimization problems. Recently, machine learning (ML)-guided approaches have demonstrated significant potential in
Externí odkaz:
http://arxiv.org/abs/2412.14409
We present exact mixed-integer programming linear formulations for verifying the performance of first-order methods for parametric quadratic optimization. We formulate the verification problem as a mixed-integer linear program where the objective is
Externí odkaz:
http://arxiv.org/abs/2412.11330
With advancements in technology, commercial aircraft formation flying is becoming increasingly feasible as an efficient and environmentally friendly flight method. However, gaps remain in practical implementation, particularly in collision avoidance
Externí odkaz:
http://arxiv.org/abs/2411.19568
Autor:
Bou Saleh, Mira1,2 (AUTHOR) mirabousaleh@hotmail.com, Chariete, Abderrahim2 (AUTHOR), Schwartz, Leo2 (AUTHOR), Grunder, Olivier2 (AUTHOR), El Hassani, Amir Hajjam2 (AUTHOR)
Publikováno v:
International Journal of Production Research. Aug2024, p1-24. 24p. 7 Illustrations.
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep learning approaches for MILP focus on specific problem
Externí odkaz:
http://arxiv.org/abs/2410.08288
Cutting planes (cuts) are crucial for solving Mixed Integer Linear Programming (MILP) problems. Advanced MILP solvers typically rely on manually designed heuristic algorithms for cut selection, which require much expert experience and cannot be gener
Externí odkaz:
http://arxiv.org/abs/2410.03112
Autor:
Yu, Mingxin, Fan, Chuchu
Navigating rigid body objects through crowded environments can be challenging, especially when narrow passages are presented. Existing sampling-based planners and optimization-based methods like mixed integer linear programming (MILP) formulations, s
Externí odkaz:
http://arxiv.org/abs/2409.11520