Results 121 to 130 of about 46,625 (244)

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

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

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

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

Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The optimization of transportation problems plays a significant role in supply chain management (SCM), where minimizing costs and improving efficiency are mandatory.
Felicia Lim Xin Ying, Suliadi Firdaus Sufahani   +1 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

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

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