Results 101 to 110 of about 27,200 (208)

A unified formulation for home healthcare routing and scheduling problems

International Transactions in Operational Research, EarlyView.
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia, Francesca Da Ros, Luca Di Gaspero, Simona Mancini, Vittorio Maniezzo, Roberto Montemanni, Roberto Maria Rosati, Andrea Schaerf   +7 more
wiley   +1 more source

Exploring Metaheuristic Optimized Machine Learning for Software Defect Detection on Natural Language and Classical Datasets

Mathematics
Software is increasingly vital, with automated systems regulating critical functions. As development demands grow, manual code review becomes more challenging, often making testing more time-consuming than development.
Aleksandar Petrovic, Luka Jovanovic, Nebojsa Bacanin, Milos Antonijevic, Nikola Savanovic, Miodrag Zivkovic, Marina Milovanovic, Vuk Gajic   +7 more
doaj   +1 more source

A formulation and a metaheuristic approach for the clustered vehicle routing problem with d‐relaxed priority rule

International Transactions in Operational Research, EarlyView.
Abstract This paper investigates an extension of the vehicle routing problem in which, in addition to minimizing the distance traveled, the sequencing of customer visits is subject to precedence constraints that impose visiting priorities among customers.
Eduardo dos Santos Teixeira, Silvio Alexandre de Araujo   +1 more
wiley   +1 more source

Freight distribution optimization by implementing the team orienteering problem with occasional drivers

International Transactions in Operational Research, EarlyView.
Abstract This research evaluates the effectiveness of a hybrid crowdshipping system that integrates occasional drivers with traditional delivery services (OD+TD) to improve the efficiency of freight distribution. By implementing the team orienteering problem with occasional drivers model, we develop a mathematical model and an agile optimization ...
Alisson Garcia‐Herrera, Xabier A. Martin, Adrian Serrano‐Hernandez, Angel A. Juan, Javier Faulin   +4 more
wiley   +1 more source

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture [PDF]

Kashyap, Gautam Siddharth, Nafis, Md Tabrez, Wazir, Samar   +2 more
openalex   +1 more source

Optimal Design of the Proton-Exchange Membrane Fuel Cell Connected to the Network Utilizing an Improved Version of the Metaheuristic Algorithm [PDF]

, 2023
Xuanxia Guo, Noradin Ghadimi
openalex   +1 more source

The impact of public drop‐off boxes and autonomous delivery robots in last‐mile delivery

International Transactions in Operational Research, EarlyView.
Abstract The growing concern over emissions from last‐mile logistics is motivating the development of innovative delivery models aimed at reducing environmental impact and traffic congestion. To this end, we propose a last‐mile delivery scheme based on both public drop‐off boxes and autonomous delivery robots.
Gianpaolo Ghiani, Emanuela Guerriero, Emanuele Manni, Deborah Pareo   +3 more
wiley   +1 more source

Economic Dispatch in Electrical Systems with Hybrid Generation Using the Differential Evolution Algorithm: A Comparative Analysis with Other Optimization Techniques Under Energy Limitation Scenarios

Energies
This study focuses on the challenge of short-term economic dispatch in hybrid generation systems, specifically under scenarios where energy constraints arise due to reduced water availability. The primary aim is to compare various generation scenarios to
Jorge Cadena-Albuja, Carlos Barrera-Singaña, Hugo Arcos, Jorge Muñoz   +3 more
doaj   +1 more source

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, EarlyView.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems [PDF]

, 2022
Gen-Han Wu, Chen-Yang Cheng, Ming-Hong Liu   +2 more
openalex   +1 more source