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Constrained discrete black-box optimization using mixed-integer programming
TP Papalexopoulos, C Tjandraatmadja… - International …, 2022 - proceedings.mlr.press
Discrete black-box optimization problems are challenging for model-based optimization
(MBO) algorithms, such as Bayesian optimization, due to the size of the search space and …
(MBO) algorithms, such as Bayesian optimization, due to the size of the search space and …
Security and energy-aware collaborative task offloading in D2D communication
Abstract Device-to-device (D2D) communication technique is used to establish direct links
among mobile devices (MDs) to reduce communication delay and increase network capacity …
among mobile devices (MDs) to reduce communication delay and increase network capacity …
Optimal placement of a combination of single-phase and three-phase μPMUs for observability of smart distribution networks with asymmetrical structure
This paper develops a new model for optimal placement of a combination of single-phase
and three-phase Micro Phasor Measurement Units (μPMUs) in smart distribution networks …
and three-phase Micro Phasor Measurement Units (μPMUs) in smart distribution networks …
Learning to scale mixed-integer programs
T Berthold, G Hendel - Proceedings of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
Many practical applications require the solution of numerically challenging linear programs
(LPs) and mixed integer programs (MIPs). Scaling is a widely used preconditioning …
(LPs) and mixed integer programs (MIPs). Scaling is a widely used preconditioning …
[PDF][PDF] Applying stochastic optimisation to the new zealand dairy industry
O Dowson - 2018 - odow.github.io
Applying Stochastic Optimisation to the New Zealand Dairy Industry Page 1 Applying
stochastic optimisation to the New Zealand dairy industry Oscar Dowson Supervisors Andy …
stochastic optimisation to the New Zealand dairy industry Oscar Dowson Supervisors Andy …
[หนังสือ][B] Linear Programming in MILP Solving-A Computational Perspective
M Miltenberger - 2023 - opus4.kobv.de
Mixed-integer linear programming (MILP) plays a crucial role in the field of mathematical
optimization and is especially relevant for practical applications due to the broad range of …
optimization and is especially relevant for practical applications due to the broad range of …