Results 121 to 130 of about 51,530 (240)
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 +3 more
wiley +1 more source
Metaheuristic optimization algorithms: An overview
HCMCOU Journal of Science – Advances in Computational StructuresMetaheuristic 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 +4 more
openaire +1 more source
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 +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 +3 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
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 +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
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 +2 more
wiley +1 more source
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 +4 more
wiley +1 more source
Novel Metaheuristic: Spy Algorithm
IEICE Transactions on Information and Systems, 2022 Dhidhi PAMBUDI, Masaki KAWAMURA
openaire +3 more sources