Results 61 to 70 of about 9,354 (201)

Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Bilevel Optimization Programming is used to model complex and conflicting interactions between agents, for example in Robust AI or Privacy preserving AI. Integrating bilevel mathematical programming within deep learning is thus an essential objective for the Machine Learning community.
openaire   +2 more sources

Smart selective navigator (SSN): enhancing urban winter road maintenance through optimized arc routing with hard turn restrictions

International Transactions in Operational Research, EarlyView.
Abstract This paper introduces a novel heuristic method, the smart selective navigator (SSN), for addressing arc routing problems (ARPs) with a focus on integrating hard turn restrictions in urban winter operations. Addressing a significant gap in existing ARP methodologies, SSN seamlessly incorporates common side constraints, such as vehicle ...
Farhad Baghyari, Jaho Seo
wiley   +1 more source

Optimization of bantuan pangan non tunai (BPNT) distribution using bilevel linear programming in siantar martoba subdistrict pematang siantar

Desimal
Bantuan Pangan Non Tunai (BPNT) is assistance that is in the second decile; in other words, KPMs who are in the first decile will also get assistance. A limited quota of BPNT recipients will result in people in categories such as the elderly group not ...
Rijen Riston Panggabean, Lasker Pangarapan Sinaga   +1 more
doaj   +1 more source

An iterated greedy‐based metaheuristic with local search for the rank pricing problem

International Transactions in Operational Research, EarlyView.
Abstract The rank pricing problem involves determining optimal prices for a set of products while accounting for customers' budgets and preferences. This study develops an iterated greedy‐based metaheuristic to efficiently solve this problem. The core idea is to generate a sequence of solutions by iteratively applying destruction and reconstruction ...
Herminia I. Calvete, Carmen Galé, Aitor Hernández, José A. Iranzo   +3 more
wiley   +1 more source

Branch and Bound Algorithm for a Discrete Multilevel Linear Fractional Programming Problem

Operations Research and Decisions, 2018
An algorithm is proposed to find an integer solution for bilevel linear fractional programming problem with discrete variables. The method develops a cut that removes the integer solutions which are not bilevel feasible.
Ritu Arora, Kavita Gupta
doaj  

Review of Water Supply, Treatment and Distribution: Overcoming Challenges for Sustainable Management

Water and Environment Journal, EarlyView.
ABSTRACT Water management faces increasing challenges driven by population growth, accelerated urbanization and climate change, demanding integrated and sustainable approaches to ensure the preservation of water resources. Water scarcity and rising demand intensify the vulnerability of various regions, threatening both water supply and environmental ...
André Linneo Tocchetto, Heloisa Serafim Kuakoski, Fernando Henrique Lermen, Sandro Deretti, Murillo Vetroni Barros, Gustavo de Souza Matias   +5 more
wiley   +1 more source

A Bilevel Stochastic Optimization Framework for Market-Oriented Transmission Expansion Planning Considering Market Power

Energies, 2023
Market power, defined as the ability to raise prices above competitive levels profitably, continues to be a prime concern in the restructured electricity markets.
Khalid A. Alnowibet, Ahmad M. Alshamrani, Adel F. Alrasheedi   +2 more
doaj   +1 more source

Inverse Optimization with Noisy Data

, 2017
Inverse optimization refers to the inference of unknown parameters of an optimization problem based on knowledge of its optimal solutions. This paper considers inverse optimization in the setting where measurements of the optimal solutions of a convex ...
Aswani, Anil, Shen, Zuo-Jun Max, Siddiq, Auyon   +2 more
core   +1 more source

Proteomic Analysis of Golden Sputum Reveals Pulmonary Complement Activation During Acute Chest Syndrome in Children With Sickle Cell Disease

American Journal of Hematology, Volume 101, Issue 4, Page 678-686, April 2026.
ABSTRACT Acute chest syndrome (ACS) is one of the most common severe complications of sickle cell disease (SCD). In recent years, a major role of inflammation and innate immunity has been evidenced, but ACS pathophysiology remains incompletely understood, and therapeutic options are limited.
Slimane Allali, Nabiha Sbeih, Rachel Rignault‐Bricard, Johanna Bruce, Morgane Le Gall, Claire Heilbronner, Noemie de Cacqueray, Sofia Angyalosy, Melissa Taylor, Joséphine Brice, Mariane de Montalembert, Martina Bevacqua, Emilie‐Fleur Gautier, Olivier Hermine, Thiago Trovati Maciel   +14 more
wiley   +1 more source

Bilevel Programming: A Combinatorial Perspective [PDF]

, 2005
Bilevel programming is a branch of optimization where a subset of variables is constrained to lie in the optimal set of an auxiliary mathematical prograri. This chapter presents an overview of two specific classes cf bilevel programs, and in particular their relationship to well-known combinatorial problems.
Patrice Marcotte, Gilles Savard
openaire   +2 more sources