Results 111 to 120 of about 38,337 (244)

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

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, Patricia Gomes Ferreira da Costa, Thaís Spiegel, Hélcio de Oliveira Rocha   +3 more
wiley   +1 more source

Optimal Coordinated Bidding of a Profit Maximizing, Risk-Averse EV Aggregator in Three-Settlement Markets Under Uncertainty

Energies, 2019
This paper develops a two-stage stochastic and dynamically updated multi-period mixed integer linear program (SD-MILP) for optimal coordinated bidding of an electric vehicle (EV) aggregator to maximize its profit from participating in competitive day ...
Yelena Vardanyan, Henrik Madsen
doaj   +1 more source

Discounted Pseudocosts in MILP

In this article, we introduce the concept of discounted pseudocosts, inspired by discounted total reward in reinforcement learning, and explore their application in mixed-integer linear programming (MILP). Traditional pseudocosts estimate changes in the objective function due to variable bound changes during the branch-and-bound process. By integrating
openaire   +2 more sources

A Milp of the Joint Order Batching, Sequencing and Picker Routing Problem Considering Pick-Face Blocking

, 2023
Jean-Raymond Fontin
openalex   +1 more source

A hierarchical two-level MILP optimization model for the management of grid-connected BESS considering accurate physical model [PDF]

, 2023
Riccardo Nebuloni, Lorenzo Meraldi, Cristian Bovo, Valentin Ilea, Alberto Berizzi, Snigdh Sinha, Raviteja Bharadwaj Tamirisakandala, Pietro Raboni   +7 more
openalex   +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

Optimal Location-Allocation of Printing Devices for Energy Saving Using a Novel MILP Approach [PDF]

, 2021
Przemysław Kaszyński, Pablo Benalcazar, Piotr Pałka, Roman Rój, Marcin Malec   +4 more
openalex   +1 more source

Designing the Game to Play: Optimizing Payoff Structure in Security Games

, 2018
Effective game-theoretic modeling of defender-attacker behavior is becoming increasingly important. In many domains, the defender functions not only as a player but also the designer of the game's payoff structure.
Fang, Fei, Shi, Zheyuan Ryan, Singh, Rohit, Tang, Ziye, Tran-Thanh, Long   +4 more
core  

Possible refinements of RECIFE-MILP

, 2017
In this document we propose formulations of additional constraints or alternative objective functions which can be added to RECIFE-MILP. The aim of these refinements is acquiring the possibility of representing additional features of the railway traffic system and alternative traffic management strategies.
Pellegrini, Paola, Marliere, Grégory, Sobieraj Richard, Sonia, Rodriguez, Joaquin   +3 more
openaire   +1 more source

Optimized Mission Planning for Heterogeneous Uncrewed Vehicle Teams

IEEE Access
In this paper presents a new mission planning optimisation method for coverage missions involving Uncrewed Aerial Systems (UAS) and Ground Vehicles (GV) to minimize the mission planning time and the UAS and GV route length.
Sina M. H. Hajkarim, P. B. Sujit, Prathyush P. Menon   +2 more
doaj   +1 more source