Results 121 to 130 of about 46,149 (202)

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

Advanced Maximum Power Point Tracking in Photovoltaic Systems: A Comprehensive Review of Classical, AI‐Based, and Metaheuristic Optimization Techniques

Engineering Reports
Photovoltaic (PV) systems play a vital role in harnessing solar energy, which has become increasingly important due to growing environmental concerns and the pressing demand for renewable energy sources (RES).
Salam J. Yaqoob, Husam Arnoos, Naseer T. Alwan, Mohit Bajaj, Ietiqal M. Alwan, Mohanad Hasan Ali Aljanabi, Basem Abu Zneid, Mebratu Sintie Geremew   +7 more
doaj   +1 more source

Metaheuristic Approaches to Enhance Voice-Based Gender Identification Using Machine Learning Methods

Applied Sciences
Nowadays, classification of a person’s gender by analyzing characteristics of their voice is generally called voice-based identification. This paper presents an investigation on systematic research of metaheuristic optimization algorithms regarding ...
Şahin Yıldırım, Mehmet Safa Bingöl
doaj   +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

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

Exact and metaheuristic approaches to minimizing makespan in parallel machine scheduling with conflicting jobs

International Transactions in Operational Research, EarlyView.
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati, Dinh Quy Ta, Minh Hoàng Hà, Andrea Schaerf   +3 more
wiley   +1 more source

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

International Transactions in Operational Research, EarlyView.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß   +3 more
wiley   +1 more source

Park‐and‐multi‐loop with autonomous delivery robots in last‐mile logistics

International Transactions in Operational Research, EarlyView.
Abstract This paper deals with the park‐and‐multi‐loop routing problem, in the context of last‐mile logistics, in which a fleet of traditional vehicles equipped with several autonomous delivery robots leaves from a depot to service a set of customer requests.
Tommaso Adamo, Gianpaolo Ghiani, Emanuela Guerriero, Emanuele Manni, Gianluca Solazzo   +4 more
wiley   +1 more source

AI-driven hybrid metaheuristic neural network approaches for medical diagnostics

Systems and Soft Computing
In recent years, metaheuristic algorithms have gained prominence as powerful computational techniques for solving complex optimization problems across various domains, including healthcare.
Abdullah Khan, Maria Ali, Dzati Athiar Ramli   +2 more
doaj   +1 more source

Production routing decisions in a two‐echelon supply chain with multiple delivery modes

International Transactions in Operational Research, Volume 33, Issue 5, Page 3385-3421, September 2026.
Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel, Fayçal Belkaid, Nadjib Brahimi   +2 more
wiley   +1 more source