Hu et al., 2016 - Google Patents
Research and solution for the shortest routing problem of logistics vehicle based on genetic algorithmHu et al., 2016
View PDF- Document ID
- 14163877734742648828
- Author
- Hu H
- Wang X
- Publication year
- Publication venue
- Revista de la Facultad de Ingeniería
External Links
Snippet
This paper has put emphasis on the study of genetic algorithm based on the introduction of vehicle routing problem and its algorithm, proposed the improved genetic algorithm based on double layer chromosome coding scheme and adaptive crossover probability, solved …
- 230000002068 genetic 0 title abstract description 34
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108764777B (en) | Electric logistics vehicle scheduling method and system with time window | |
CN109933089B (en) | Multi-unmanned aerial vehicle task planning method and device based on minimum maximum energy consumption | |
CN112418497B (en) | Material distribution path optimization method for manufacturing Internet of things | |
James | Two-stage request scheduling for autonomous vehicle logistic system | |
CN110807236A (en) | Warehouse logistics simulation system based on multiple robots | |
CN109764882B (en) | Multi-target vehicle path planning method based on self-adaptive local search chain | |
Alesiani et al. | Optimization of charging stops for fleet of electric vehicles: A genetic approach | |
CN111178724B (en) | Carpooling scheduling method based on evolution algorithm | |
CN113703472A (en) | Path optimization method and device for cooperative inspection of multiple unmanned aerial vehicles and vehicles | |
Du et al. | AI-based energy-efficient path planning of multiple logistics UAVs in intelligent transportation systems | |
CN113033866A (en) | Emergency order distribution scheduling optimization method | |
CN113487264B (en) | Logistics distribution method and system based on heterogeneous multi-unmanned aerial vehicles | |
Wallar et al. | Optimizing multi-class fleet compositions for shared mobility-as-a-service | |
CN113848970A (en) | Multi-target collaborative path planning method for vehicle and unmanned aerial vehicle | |
CN114330870A (en) | Multi-population evolution algorithm-based vehicle path planning method with time window | |
CN109840625B (en) | Courier group path navigation method | |
CN114819785B (en) | Reinforced learning-based land-air joint track optimization and resource allocation method | |
Zhang et al. | Cooperative Route Planning for Fuel-constrained UGV-UAV Exploration | |
Chen | Integrated routing and charging scheduling for autonomous electric aerial vehicle system | |
Hu et al. | Research and solution for the shortest routing problem of logistics vehicle based on genetic algorithm | |
CN109800911A (en) | A method of part path unified navigation is sent for several couriers | |
CN112016750A (en) | Improved method for solving problem of vehicle path with constraint | |
CN103164747B (en) | Battlefield first-aid repair resource recombination optimization decision method | |
Xiao et al. | A reinforcement-learning-based bus scheduling model | |
CN117132011A (en) | Inter-city travel vehicle path determining method, system, electronic equipment and medium |