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A Bayesian optimization approach for tuning a grouping genetic algorithm for solving practically oriented pickup and delivery problems

Rüther, Cornelius; Rieck, Julia - In: Logistics 8 (2024) 1, pp. 1-26

Grouping Genetic Algorithm (GGA) framework with several operators and population management variants. A Bayesian Optimization …

Persistent link: https://www.econbiz.de/10014507533

Logistics hub and route optimization in the physical internet paradigm

Naganawa, Hisatoshi; Hirata, Enna; Firdausiyah, Nailah; … - In: Logistics 8 (2024) 2, pp. 1-18

algorithm and the Lin-Kernighan heuristic. The model is tested with real data simulations to evaluate its performance. Results …

Persistent link: https://www.econbiz.de/10014584847

Heuristics algorithms for a heterogeneous fleets vrp with excessive demand for the vehicle at the pickup points, and the longest traveling time constraint : a case study in Prasits...

Sasitorn Kaewman; Raknoi Akararungruangkul - In: Logistics 2 (2018) 3, pp. 1-16

developed two metaheuristics—a differential evolution (DE) algorithm and an adaptive large neighborhood search (ALNS)—to solve … computational results, we can see that the proposed heuristics outperformed the best practices that are currently in use. The DE …,750 baht per year) lower cost than that of current practice. Comparing the proposed heuristics, ALNS achieved a 1.01% lower …

Persistent link: https://www.econbiz.de/10012122798

Ant colony optimization for multiple pickup and multiple delivery vehicle routing problem with time window and heterogeneous fleets

Phan Nguyen Ky Phuc; Nguyen Le Phuong Thao - In: Logistics 5 (2021) 2, pp. 1-13

). In the next step, the ant colony optimization algorithm is studied to solve the problem in the large-scale. …

Persistent link: https://www.econbiz.de/10012518578

Optimization of hub-based milkrun supply

Bányai, Tamás - In: Logistics 8 (2024) 3, pp. 1-21

Background: Milkrun-based material supply plays an important role in the automotive industry, as it is a material supply concept where high efficiency can be achieved. When implementing milkrun-based material supply, the milkrun supply of the production plant often has to be integrated with an...

Persistent link: https://www.econbiz.de/10015081016

Evolving hybrid deep neural network models for end-to-end inventory ordering decisions

Moraes, Thais de Castro; Qin, Jiancheng; Yuan, Xue-ming; … - In: Logistics 7 (2023) 4, pp. 1-18

investigates the performance drivers of hybrid CNN-LSTM architectures, coupled with an evolving algorithm for optimizing network …

Persistent link: https://www.econbiz.de/10014454535

Travel time prediction in a multimodal freight transport relation using machine learning algorithms

Servos, Nikolaos; Liu, Xiaodi; Teucke, Michael; … - In: Logistics 4 (2020) 1, pp. 1-22

Accurate travel time prediction is of high value for freight transports, as it allows supply chain participants to increase their logistics quality and efficiency. It requires both sufficient input data, which can be generated, e.g., by mobile sensors, and adequate prediction methods. Machine...

Persistent link: https://www.econbiz.de/10012262182

Advanced queueing and location-allocation strategies for sustainable food supply chain

Paksaz, Amirmohammad; Beinabadi, Hanieh Zareian; … - In: Logistics 8 (2024) 3, pp. 1-24

times, and reducing environmental impact. Methods: The grasshopper optimization algorithm (GOA), a meta-heuristic algorithm … GAMS fall short. Results: The results indicate that the proposed model, utilizing the grasshopper optimization algorithm …

Persistent link: https://www.econbiz.de/10015080834

Picker routing and batching in multi-block parallel-aisle warehouses : an application from the logistics service provider

Görener, Ali - In: Logistics 9 (2025) 1, pp. 1-27

picker routing and order batching, which have an important place in order picking. A genetic algorithm-based solution with …

Persistent link: https://www.econbiz.de/10015337468

Order picking problem : a model for the joint optimisation of order batching, batch assignment sequencing, and picking routing

Coruzzolo, Antonio Maria; Lolli, Francesco; Balugani, Elia - In: Logistics 7 (2023) 3, pp. 1-18

constructive heuristic algorithm was developed. To improve the solution, we implemented various algorithms, from multi-start with … improve the solution initially obtained with the heuristic earliest due date algorithm. …

Persistent link: https://www.econbiz.de/10014414060