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Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery
Joint Authors
Leng, Longlong
Zhao, Yanwei
Zhang, Jingling
Zhang, Chunmiao
Wang, Wanliang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-28
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
This paper presents an evolution-based hyperheuristic (EHH) for addressing the capacitated location-routing problem (CLRP) and one of its more practicable variants, namely, CLRP with simultaneous pickup and delivery (CLRPSPD), which are significant and NP-hard model in the complex logistics system.
The proposed approaches manage a pool of low-level heuristics (LLH), implementing a set of simple, cheap, and knowledge-poor operators such as “shift” and “swap” to guide the search.
Quantum (QS), ant (AS), and particle-inspired (PS) high-level learning strategies (HLH) are developed as evolutionary selection strategies (ESs) to improve the performance of the hyperheuristic framework.
Meanwhile, random permutation (RP), tabu search (TS), and fitness rate rank-based multiarmed bandit (FRR-MAB) are also introduced as baselines for comparisons.
We evaluated pairings of nine different selection strategies and four acceptance mechanisms and monitored the performance of the first four outstanding pairs in 36 pairs by solving three sets of benchmark instances from the literature.
Experimental results show that the proposed approaches outperform most fine-tuned bespoke state-of-the-art approaches in the literature, and PS-AM and AS-AM perform better when compared to the rest of the pairs in terms of obtaining a good trade-off of solution quality and computing time.
American Psychological Association (APA)
Zhao, Yanwei& Leng, Longlong& Zhang, Jingling& Zhang, Chunmiao& Wang, Wanliang. 2020. Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery. Complexity،Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1145512
Modern Language Association (MLA)
Zhao, Yanwei…[et al.]. Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery. Complexity No. 2020 (2020), pp.1-24.
https://search.emarefa.net/detail/BIM-1145512
American Medical Association (AMA)
Zhao, Yanwei& Leng, Longlong& Zhang, Jingling& Zhang, Chunmiao& Wang, Wanliang. Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery. Complexity. 2020. Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1145512
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145512