Results 101 to 110 of about 26,115 (210)
Engineering Reports, Volume 8, Issue 2, February 2026.Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad +3 more
wiley +1 more source
Multi-Objectives, Multi-Period Optimization of district heating networks Using Evolutionary Algorithms and Mixed Integer Linear Programming (MILP) [PDF]
, 2012 Abstract A systematic procedure, including process design and integration techniques for sizing and operation optimization of a poly-generation plant and design of a district heating network is presented in this paper. In the developed model a simultaneous multi objectives and multi-period optimization are principally investigated.
Samira Fazlollahi +3 more
openaire +1 more source
SICE Journal of Control, Measurement, and System IntegrationThis paper investigates a distributed optimization approach for solving mixed integer linear programming (MILP) problems with a coupling constraint over unbalanced directed networks.
Gakuto Ogawa +2 more
doaj +1 more source
Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
Chemical Engineering Transactions, 2013 This work aims to integrate the tactical and operational decision making levels. A typical Scheduling mixed integer linear programming (MILP) model has been solved using several demand scenarios.
M. Zamarripa +5 more
doaj +1 more source
A Mixed‐Integer Linear Programming Framework for Optimization of Water Network Operations Problems
Water Resources ResearchWater distribution systems (WDSs) are critical infrastructure used to convey water from sources to consumers. The mathematical framework governing the distribution of flows and heads in extended period simulations of WDSs lends itself to application in a
Meghna Thomas, Lina Sela
doaj +1 more source
Strength-constrained unit commitment in IBR dominant power systems
iEnergyIn this paper, a strength-constrained unit commitment (UC) model incorporating system strength constraints based on the weighted short-circuit ratio (WSCR) is proposed.
Yong-Kyu Kim, Sang-Ho Lee, Gyu-Sub Lee
doaj +1 more source
A local branching heuristic for MINLPs
, 2008 Local branching is an improvement heuristic, developed within the context of branch-and-bound algorithms for MILPs, which has proved to be very effective in practice.
Belotti, Pietro +2 more
core +1 more source
International Journal of Analysis and Applications, 2020 In this study, we develop a surrogate relaxation-based procedure to reduce mixed-integer linear programming (MILP) problem sizes. This technique starts with one surrogate constraint which is a nonnegative linear combination of multiple constraints of the
Hande Günay Akdemir
doaj
INTECOMS: Journal of Information Technology and Computer ScienceIn the Dynamic Economic Dispatch (DED) based on Mixed Integer Linear Programming (MILP) for the electricity of Sumbawa Island by considering RE (Renewable Energy) power plants, several aspects need to be considered, namely Variable Addition and Limitations: In the MILP model, the new variable must include the allocation of power from RE sources, such ...
Rony Seto Wibowo, Tri Handoyo Baniantoro
openaire +1 more source
Raw Material Purchasing Optimization Using Column Generation
Applied SciencesThe raw material purchasing (RMP) problem is to determine the purchasing quantities of raw materials in given periods or cycles. Raw material purchasing optimization is crucial for large-scale steel plants because it is closely related to the supply of ...
Zhen Gao +3 more
doaj +1 more source