Results 11 to 20 of about 38,337 (244)

Learning-Assisted Variables Reduction Method for Large-Scale MILP Unit Commitment

open access: goldIEEE Open Access Journal of Power and Energy, 2023
The security-constrained unit commitment (SCUC) challenge is solved repeatedly several times every day, for operations in a limited time. Typical mixed-integer linear programming (MILP) formulations are intertemporal in nature and have complex and ...
Mohamed Ibrahim Abdelaziz Shekeew   +1 more
doaj   +2 more sources

Optimizing cut order planning: A comparative study of heuristics, metaheuristics, and MILP algorithms

open access: diamondInternational Journal of Production Management and Engineering
Cut Order Planning (COP) optimizes production costs in the apparel industry by efficiently cutting fabric for garments. This complex process involves challenging decision-making due to order specifications and production constraints.
Sharif Al-Mahmud   +3 more
doaj   +3 more sources

Fast MILP Models for Division Property

open access: yesIACR Transactions on Symmetric Cryptology, 2022
Nowadays, MILP is a very popular tool to help cryptographers search for various distinguishers, in particular for integral distinguishers based on the division property.
Patrick Derbez, Baptiste Lambin
doaj   +2 more sources

Multivalent ionizable lipid-polypeptides for tumor-confined mRNA transfection [PDF]

open access: yesBioactive Materials
mRNA therapeutics is revolutionizing the treatment concepts toward many diseases including cancer. The potential of mRNA is, however, frequently limited by modest control over site of transfection.
Xiaofei Zhao   +5 more
doaj   +2 more sources

Bi-Stage Optimization Model For Transportation of Construction Steel: An Indian Case Study [PDF]

open access: yesE3S Web of Conferences, 2023
In a steel plant, one of the critical tasks of plant logistics is the transportation of the finished products. A steel company transportation system generally consists of a fleet of load-carrying trailers and rail, which are used to transport finished ...
Sharma Gaurav Kumar   +4 more
doaj   +1 more source

MULTI-OBJECTIVE OPTIMIZATION MODEL FOR A MULTI-DEPOT MIXED FLEET ELECTRIC VEHICLE SCHEDULING PROBLEM WITH REAL-WORLD CONSTRAINTS [PDF]

open access: yesTransport Problems, 2022
This paper presents the problem of public transport planning in terms of the optimal use of the available fleet of vehicles and reductions in operational costs and environmental impact.
Jerzy DUDA   +6 more
doaj   +1 more source

Assessment of the dilution controlling factor in the production scheduling of mines [PDF]

open access: yesمجله مدل سازی در مهندسی, 2021
With reduction in the mineral grade due to thedevelopment of the mining area to the depths and to ensure the economic efficiencyof mining operations, it is necessary to increase the annual productioncapacity, therefore scheduling problems optimization in
farshad nejadshahmohammad   +2 more
doaj   +1 more source

MILP-Based Imitation Learning for HVAC Control [PDF]

open access: yesIEEE Internet of Things Journal, 2022
To optimize the operation of a HVAC system with advanced techniques such as artificial neural network, previous studies usually need forecast information in their method. However, the forecast information inevitably contains errors all the time, which degrade the performance of the HVAC operation.
Huy Truong Dinh, Daehee Kim
openaire   +2 more sources

Two stages of halal food distribution model for perishable food products

open access: yesInternational Journal of Production Management and Engineering, 2023
Two stages of halal food distribution model for perishable food products are a mixed integer linear program (MILP) model proposed to solve the distribution problem of halal food, especially for perishable food products.
Dwi Agustina Kurniawati   +1 more
doaj   +1 more source

An adaptable robust optimization model for a dual-channel closed-loop supply chain considering cost and demand uncertainty

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2022
Most real-life optimization problems are subjected to uncertainty, and the robust optimization approach is one of the efficient techniques to deal with uncertain optimization problems.
Essam KAOUD   +3 more
doaj   +1 more source

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