An enhanced genetic algorithm for unmanned aerial vehicle logistics scheduling
Author:
Affiliation:
1. School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing China
2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12106
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1. A unified tabu search heuristic for vehicle routing problems with time windows
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