Results 101 to 110 of about 12,107 (234)

Integrated location–inventory planning for slow‐moving demands with waiting time limitations

International Transactions in Operational Research, EarlyView.
Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu, Fan E, Kai Huang, Yunyang Lu, Majid Taghavi   +4 more
wiley   +1 more source

Study of Convergence in Metaheuristics Algorithms

Baltic Journal of Modern Computing, 2019
Donatas Kavaliauskas, Leonidas Sakalauskas   +1 more
openaire   +1 more source

A matheuristic for the traveling salesman problem with positional consistency constraints

International Transactions in Operational Research, EarlyView.
Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley   +1 more source

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

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

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

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

Optimization of structural assembly scheduling in the aeronautics industry

International Transactions in Operational Research, EarlyView.
Abstract In the aeronautical industry, structural assembly refers to the stage in which parts, subassemblies, and main aircraft structures are fitted together, forming aerostructures. Aircraft structural assembly requires many complex activities to be performed over an intricate precedence network and is subject to interactions among the various ...
Bruno Jensen Virginio da Silva, Mateus Martin, Reinaldo Morabito, Vitoria Pureza   +3 more
wiley   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

An enhanced adaptive large neighborhood search algorithm for the multiple allocation p‐hub location problem with a mesh backbone network in video‐on‐demand services

International Transactions in Operational Research, EarlyView.
Abstract This study tackles the multiple allocation p$p$‐hub location problem (MApHLP) in the context of video‐on‐demand services, where digital content is partitioned into segments and stored exclusively at selected hub locations. Users, distributed across a wide geographical area, can connect to multiple hubs based on demand patterns, with all hubs ...
Soumen Atta
wiley   +1 more source