Results 121 to 130 of about 41,487 (244)

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

Physics-Based Metaheuristic Optimization Algorithms for Pathfinding

Algorithms
This paper examines the performance of nine physics-based metaheuristic algorithms—Electromagnetism-Like Algorithm (EMLA), Fluid Search Algorithm (FSA), Gravitational Search Algorithm (GSA), and six hybrids (EMLA + FSA, EMLA + GSA, FSA + ELMA, FSA + GSA,
Ahmad Sharieh, Heba Mosleh, Tasneem Abu Kabeer   +2 more
doaj   +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

Review: Metaheuristic Optimization Algorithms

International Journal of Computer Applications, 2022
openaire   +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

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

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

Bioinspired metaheuristic algorithms for global optimization

, 2015
This paper presents concise comparison study of newly developed bioinspired algorithms for global optimization problems. Three different metaheuristic techniques, namely Accelerated Particle Swarm Optimization (APSO), Firefly Algorithm (FA), and Grey Wolf Optimizer (GWO) are investigated and implemented in Matlab environment. These methods are compared
Mitić, Marko, Vuković, Najdan, Petrović, Milica, Petronijević, Jelena, Diryag, Ali, Miljković, Zoran   +5 more
openaire   +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