Multi-objective AGV scheduling in an automatic sorting system of an unmanned (intelligent) warehouse by using two adaptive genetic algorithms and a multi-adaptive genetic algorithm
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DOI: 10.1371/journal.pone.0226161
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References listed on IDEAS
- Karimi, Behzad & Niaki, S.T.A. & Haleh, Hassan & Naderi, Bahman, 2018. "Bi-objective optimization of a job shop with two types of failures for the operating machines that use automated guided vehicles," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 92-104.
- Zengliang Han & Dongqing Wang & Feng Liu & Zhiyong Zhao, 2017. "Multi-AGV path planning with double-path constraints by using an improved genetic algorithm," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-16, July.
- Yan, Rundong & Dunnett, S.J. & Jackson, L.M., 2018. "Novel methodology for optimising the design, operation and maintenance of a multi-AGV system," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 130-139.
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Cited by:
- Lining Xing & Yuanyuan Liu & Haiyan Li & Chin-Chia Wu & Win-Chin Lin & Xin Chen, 2020. "A Novel Tabu Search Algorithm for Multi-AGV Routing Problem," Mathematics, MDPI, vol. 8(2), pages 1-16, February.
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