@inproceedings{ddcc66e9363b4b8f87f2ae290fdcf9cd,
title = "Quantum evolutionary algorithm for vehicle routing problem with simultaneous delivery and pickup",
abstract = "Vehicle routing problem with simultaneous delivery and pickup (VRPSDP) with strong industrial background has gained wide attention both in academic and engineering fields. A novel quantum-inspired evolutionary algorithm (QEA) with computing the rotation gate using elite mean values based on chaos theory is presented for VRPSDP. A grey binary scheme is develop for individual representation. An efficient population initialization based on Nearest Insertion Algorithm (NIA) and chaos function is proposed to generate an initial population with certain quality and diversity. A local search strategy based on the NIA and Or-Opt et.al, named the revision and improvement search, is applied to the solution. Simulation results and comparisons demonstrate the effectiveness of the proposed algorithm.",
author = "Hu, {Feng Jun} and Bin Wu",
year = "2009",
doi = "10.1109/CDC.2009.5399632",
language = "英语",
isbn = "9781424438716",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5097--5101",
booktitle = "Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009",
address = "美国",
note = "48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 ; Conference date: 15-12-2009 Through 18-12-2009",
}