Search Results - subject:"Genetic algorithms"

Biased random-key genetic algorithms : a review

Londe, Mariana A.; Pessoa, Luciana S.; Andrade, Carlos E.; … - In: European journal of operational research : EJOR 321 (2025) 1, pp. 1-22

Persistent link: https://www.econbiz.de/10015085386

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

Background: In today's business world, where competition lies between supply chains, customer expectations are changing dynamically. Effective order picking in warehouses has become a top concern given expectations for rapid delivery, a larger product range, and continuous support. Methods: In...

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

Genetic algorithm modeling of European Union firms' competitive advantage

Dias, Alexandre Teixeira; Martins, Henrique Cordeiro; … - In: European journal of management and business economics : … 33 (2024) 3, pp. 324-340

environment in which they operate, and the size of the firm. The second one is related to the use of genetic algorithms to … competition, monopolistic competition and oligopoly, respectively. Proposed models' parameters were estimated by means of genetic … algorithms. Findings - Adjustments on firm's investment are contingent on the degree of competition they face. Results are in …

Persistent link: https://www.econbiz.de/10014578023

Discrete cooperative coverage location models with alternative facility types in a probabilistic setting

Michopoulou, Maria; Giannikos, Ioannis - In: International transactions in operational research : a … 31 (2024) 5, pp. 2826-2849

Persistent link: https://www.econbiz.de/10014533445

Analyzing the impact of strategic behavior in an evolutionary learning model using a genetic algorithm

Ferraz, Vinícius; Pitz, Thomas - In: Computational economics 63 (2024) 2, pp. 437-475

Persistent link: https://www.econbiz.de/10014472273

Managing extreme cryptocurrency volatility in algorithmic trading : EGARCH via genetic algorithms and neural networks

Alaminos, David; Salas, M. Belén; Callejón-Gil, Ángela M. - In: Quantitative finance and economics 8 (2024) 1, pp. 153-209

Persistent link: https://www.econbiz.de/10015126885

A federated learning model for integrating sustainable routing with the Internet of Vehicular Things using genetic algorithm

Khatua, Sushovan; De, Debashis; Maji, Somnath; Maity, Samir - In: Decision analytics journal 11 (2024), pp. 1-16

A distributed machine learning technique called federated learning allows numerous Internet of Things (IoT) edge devices to work together to train a model without sharing their raw data. Internet of Vehicular Things (IoVT) are an important tool in smart cities for moving objects, such as knowing...

Persistent link: https://www.econbiz.de/10015107968

The parcel hub scheduling problem with limited conveyor capacity and controllable unloading speeds

Bugow, Stefan; Kellenbrink, Carolin - In: OR Spectrum 45 (2023) 2, pp. 325-357

We investigate a specific truck scheduling problem at cross-docks in the postal service industry on an operational level aiming to maximise the number of duly parcels assuming fixed departure times of the outbound trucks. The inbound gates and the conveyors as means of transportation inside the...

Persistent link: https://www.econbiz.de/10015188344

Optimal dividend bands revisited : a gradient-based method and evolutionary algorithms

Albrecher, Hansjörg; Garcia Flores, Brandon - In: Scandinavian actuarial journal 2023 (2023) 8, pp. 788-810

Persistent link: https://www.econbiz.de/10014383971

Solving the multi-objective bike routing problem by meta-heuristic algorithms

Nunes, Pedro; Moura, Ana; Santos, José - In: International transactions in operational research : a … 30 (2023) 2, pp. 717-741

Persistent link: https://www.econbiz.de/10013417074