Search Results - subject:"Evolutionary algorithm"

An exact and metaheuristic optimization framework for solving Vehicle Routing Problems with Shipment Consolidation using population-based and Swarm Intelligence

Zuhanda, Muhammad Khahfi; Hartono; Hasibuan, Samsul A. … - 2024

The Vehicle Routing Problem with Shipment Consolidation (VRPSC) is a novel variation of the vehicle routing problem that involves multiple commodities, multiple dimensions, a fleet with different types of vehicles, and the challenge of consolidating shipments during the route. Exact algorithms...

Persistent link: https://www.econbiz.de/10015419194

Research on optimization strategies for closed-loop supply chain management based on deep learning technology

Gao, Chunjuan - In: International journal of information systems and supply … 17 (2024) 1, pp. 1-22

Persistent link: https://www.econbiz.de/10015433070

Application of artificial intelligence data mining algorithm in enterprise management risk assessment

Zhu, Juntao - In: International journal of information systems and supply … 17 (2024) 1, pp. 1-19

Persistent link: https://www.econbiz.de/10015433098

Adapting support vector optimisation algorithms to textual gender classification

Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488

Persistent link: https://www.econbiz.de/10015188211

A metaheuristic for a time-dependent vehicle routing problem with time windows, two vehicle fleets and synchronization on a road network

Guillen Reyes, Fernando O.; Gendreau, Michel; Potvin, … - In: EURO journal on transportation and logistics 13 (2024), pp. 1-20

In this work, we extend the time-dependent vehicle routing problem with time windows on a road network by considering two types of vehicles, large and small, to serve customers. Motivated from city logistics applications, large vehicles are forbidden from the downtown area. Accordingly, goods...

Persistent link: https://www.econbiz.de/10015193757

An adaptive greedy heuristic for large scale airline crew pairing problems

Zeren, Bahadır; Özcan, Ender; Deveci, Muhammet - In: Journal of air transport management : a new … 114 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014462413

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

Background: The Multi Depot Pickup and Delivery Problem with Time Windows and Heterogeneous Vehicle Fleets (MDPDPTWHV) is a strongly practically oriented routing problem with many real-world constraints. Due to its complexity, solution approaches with sufficiently good quality ideally contain...

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

A review and classification on distributed permutation flowshop scheduling problems

Perez-Gonzalez, Paz; Framinan, Jose M. - In: European journal of operational research : EJOR 312 (2024) 1, pp. 1-21

Persistent link: https://www.econbiz.de/10014456196

A fishing route optimization decision support system : the case of the tuna purse seiner

Granado, Igor; Hernando, Leticia; Uriondo, Zigor; … - In: European journal of operational research : EJOR 312 (2024) 2, pp. 718-732

Persistent link: https://www.econbiz.de/10014456320

Hybrid differential evolution algorithm for the resource constrained project scheduling problem with a flexible project structure and consumption and production of resources

Beek, T. van der; Souravlias, Dimitris; Essen, J. Theresia - In: European journal of operational research : EJOR 313 (2024) 1, pp. 92-111

Persistent link: https://www.econbiz.de/10014456511