Results 121 to 130 of about 50,815 (253)

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

Hybrid Whale Optimization with a Firefly Algorithm for Function Optimization and Mobile Robot Path Planning

Biomimetics
With the wide application of mobile robots, mobile robot path planning (MRPP) has attracted the attention of scholars, and many metaheuristic algorithms have been used to solve MRPP.
Tao Tian, Zhiwei Liang, Yuanfei Wei, Qifang Luo, Yongquan Zhou   +4 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

Metaheuristic optimization algorithms: An overview

HCMCOU Journal of Science – Advances in Computational Structures
Metaheuristic optimization algorithms are versatile and adaptable tools that effectively solve various complex optimization problems. These algorithms are not restricted to specific types of problems or gradients. They can explore globally and handle multi-objective optimization efficiently.
Brahim Benaissa, Masakazu Kobayashi, Musaddiq Al Ali, Tawfiq Khatir, Mohamed El Amine Elaissaoui Elmeliani   +4 more
openaire   +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

An Adaptive Genetic Algorithm for Solving N-Queens Problem

, 2017
In this paper a Metaheuristic approach for solving the N-Queens Problem is introduced to find the best possible solution in a reasonable amount of time. Genetic Algorithm is used with a novel fitness function as the Metaheuristic.
Nag, Sayan, Sarkar, Uddalok
core  

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

Coordinating a bi‐level blood supply chain with interactions between supply‐side and demand‐side operational decisions

International Transactions in Operational Research, Volume 33, Issue 3, Page 1971-2015, May 2026.
Abstract In most blood supply chains, blood centers and hospitals make individual decisions, resulting in an inefficient structure of the blood supply chain, which in turn renders supply and demand matching a challenging exercise. In this work, we make the very first attempt to optimize the interaction between blood centers and hospitals.
Mohammad S. Moshtagh, Yun Zhou, Manish Verma   +2 more
wiley   +1 more source

Historical survey on metaheuristics algorithms

International Journal of Scientific World, 2019
Metaheuristic algorithms have been an interesting and widely used area for scientists, researchers and academicians because of their specific and significant characteristics and capabilities in solving optimization problems. Metaheuristic algorithms are developed base on inspiration of some real world phenomenon in nature or on the behavior of living ...
openaire   +2 more sources

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