Results 101 to 110 of about 26,837 (219)

Predictive Building Energy Management by Means of Mixed‐Integer Optimal Control With Automated Setup

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Today, a significant portion of total final energy consumption can be attributed to heating systems in buildings. Reducing energy consumption and carbon dioxide emissions in this sector is, therefore, crucial to achieving the goals of climate action initiatives worldwide.
Artyom Burda, Philip Lay, Mirco Rode, Martin Grotjahn, Christian Kirches   +4 more
wiley   +1 more source

Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles

Software: Practice and Experience, Volume 56, Issue 6, Page 615-642, June 2026.
ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom, Emil Karlsson, Simin Nadjm‐Tehrani   +2 more
wiley   +1 more source

Systematic Literature Review for Robust Mixed-Integer Linear Programming Models Using Benders Decomposition in Facility Location Problems

Cauchy: Jurnal Matematika Murni dan Aplikasi
The robust Mixed-Integer Linear Programming (MILP) model is an approach to address uncertainty in linear optimization involving integer and continuous variables, which can be solved using the Benders Decomposition method.
Fadiah Hasna Nadiatul Haq, Diah Chaerani, Anita Triska   +2 more
doaj   +1 more source

Optimize Unrelated Parallel Machines Scheduling Problems With Multiple Limited Additional Resources, Sequence-Dependent Setup Times and Release Date Constraints

IEEE Access, 2019
This paper considers the problem of scheduling a set of jobs on unrelated parallel machines subject to several constraints which are non-zero arbitrary release dates, limited additional resources, and non-anticipatory sequence-dependent setup times.
Ibrahim M. Al-harkan, Ammar A. Qamhan
doaj   +1 more source

On optimizing over lift-and-project closures [PDF]

, 2010
The lift-and-project closure is the relaxation obtained by computing all lift-and-project cuts from the initial formulation of a mixed integer linear program or equivalently by computing all mixed integer Gomory cuts read from all tableau's corresponding
Bonami, Pierre
core   +2 more sources

Design and optimization of processes for recovering rare earth elements from end‐of‐life permanent magnets

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract Recovery of rare earth elements (REEs) from end‐of‐life (EOL) products represents a strategic opportunity to strengthen the domestic supply chain for rare earth elements. This work presents a superstructure‐based optimization framework for finding the most economical processing pathway for different EOL rare earth permanent magnets (REPMs ...
Chris Laliwala, Oluwamayowa O. Amusat, Akintomiwa Ojo, Alejandro Garciadiego, Thomas Tarka, Debangsu Bhattacharyya, Ana I. Torres   +6 more
wiley   +1 more source

Stochastic optimization of Power‐to‐Methanol: Production cost sensitivity to process design vs. scheduling

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract Under time‐varying electricity prices, the production costs of Power‐to‐X processes with intermediate storage can be reduced by simultaneously optimizing the process unit design and size with their scheduling and operation. However, the production cost sensitivity to optimal process design or scheduling is unclear, especially when several ...
Simone Mucci, Dominik Bongartz
wiley   +1 more source

Minimizing Energy Consumption and Costs in Textile Finishing Industrial Processes

Chemical Engineering &Technology, Volume 49, Issue 5, May 2026.
In the present article it is proposed an effective optimization model with MILP formulation for reducing energy consumption and process costs in the finishing sector in textile industrial processes with emphasis on the sequencing of batches in stenter‐type machines. The model is strategic for decision‐making and minimizing energy consumption.
Rodrigo Antoniassi Cardim, Andreia Bortoluzzi da Silva, Gilberto Rodrigues Junior, Washington Luiz Félix Santos, Mauro Antonio da Silva Sá Ravagnani   +4 more
wiley   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, Volume 14, Issue 5, Page 2583-2599, May 2026.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Distributed optimization for mixed integer linear programming on unbalanced directed graphs with row stochasticity

SICE Journal of Control, Measurement, and System Integration
This paper investigates a distributed optimization approach for solving mixed integer linear programming (MILP) problems with a coupling constraint over unbalanced directed networks.
Gakuto Ogawa, Naoki Hayashi, Masahiro Inuiguchi   +2 more
doaj   +1 more source