Results 121 to 130 of about 32,569 (254)

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

Obesity Reviews, EarlyView.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini, Shuo‐yu Lin, Ge Song, Ruopeng An, Hong Xue   +4 more
wiley   +1 more source

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

The team orienteering problem with variable time windows

International Transactions in Operational Research, Volume 33, Issue 3, Page 1705-1732, May 2026.
Abstract The orienteering problem is well‐established within the domain of operational research. This paper introduces the team orienteering problem with variable time windows (TOPVTW) as a new variant of the team orienteering problem with time windows. The distinguishing feature of the TOPVTW is the adaptive time windows, which evolve dynamically as a
Bibiana Granda, Begoña Vitoriano
wiley   +1 more source

Scheduling Emergency Physicians Based on a Multiobjective Programming Approach: A Case Study of West China Hospital of Sichuan University. [PDF]

J Healthc Eng, 2019
Tan M, Gan J, Ren Q.
europepmc   +1 more source

ON NECESSARY CONDITIONS FOR EFFICIENCY IN DIRECTIONALLY DIFFERENTIABLE OPTIMIZATION PROBLEMS [PDF]

This paper deals with multiobjective programming problems with in- equality, equality and set constraints involving Dini or Hadamard differentiable func- tions.
Do Van Luu, Manh-Hung Nguyen
core  

Enhancing pharmaceutical cold supply chain: integrating medication synchronization and diverse delivery modes

International Transactions in Operational Research, Volume 33, Issue 3, Page 2082-2118, May 2026.
Abstract The significance of last‐mile logistics in the healthcare supply chain is growing steadily, especially in pharmacies where the growing prevalence of medication delivery to patients' homes is remarkable. This paper proposes a novel mathematical model for the last‐mile logistics of the pharmaceutical supply chain and optimizes a pharmacy's ...
Elise Potters, Behzad Mosalla Nezhad, Victor Johan Bernard, Erwin Hans, Amin Asadi   +4 more
wiley   +1 more source

Modeling and generating user‐centered contrastive explanations for the workforce scheduling and routing problem

International Transactions in Operational Research, Volume 33, Issue 3, Page 1525-1558, May 2026.
Abstract In the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO).
Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane   +3 more
wiley   +1 more source

Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems. [PDF]

PLoS One, 2023
Raghav YS, Haq A, Ali I.
europepmc   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, Volume 123, Issue 4, Page 805-830, April 2026.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Anytime Lexicographic Enumeration of the Pareto Front in Multi‐Objective Combinatorial Optimisation

Journal of Multi-Criteria Decision Analysis, Volume 33, Issue 1, April 2026.
ABSTRACT Multi‐objective combinatorial optimisation problems are widespread in real‐world scenarios, including resource allocation, scheduling and logistics, where multiple competing objectives need to be optimised simultaneously. In industrial contexts, lexicographic optimisation is often used to solve these problems, requiring the decision‐maker (DM)
Marco Foschini, Dimos Tsouros, Bistra Dilkina, Tias Guns   +3 more
wiley   +1 more source