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https://hdl.handle.net/20.500.14279/32834
Τίτλος: | Muli-Quay Combined Berth and Quay Crane Allocation Using the Cuckoo Search Algorithm | Συγγραφείς: | Aslam, Sheraz Michaelides, Michalis P. Herodotou, Herodotos |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Berth and Quay Crane Allocation Problem;Cuckoo Search Algorithm;Metaheuristic;Port Efficiency | Ημερομηνία Έκδοσης: | 1-Ιαν-2024 | Πηγή: | 10th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), Angers, France | Project: | Autonomous, scalablE, tRustworthy, intelligent European meta Operating System for the IoT edge-cloud continuum | Conference: | International Conference on Vehicle Technology and Intelligent Transport Systems | Περίληψη: | This study investigates the combined berth allocation problem (BAP) and quay crane allocation problem (QCAP) while considering a multi-quay setting. First, a mixed integer linear programming mathematical model is developed based on various constraints and real port settings. Then, the multi-quay combined BAP and QCAP is solved using both the exact method and a metaheuristic optimization method, namely, the cuckoo search algorithm (CSA). This analysis pertains to a one-week planning scenario, utilizing data from a real port. The results of the comparative analysis show that the proposed CSA can provide a near-optimal solution (< 1.02% from the optimal) at a fraction of the computational time (10 times faster), as compared to the exact solution. This makes it suitable for solving larger instances of the combined BAP and QCAP for bigger terminals and extended planning horizons. | URI: | https://hdl.handle.net/20.500.14279/32834 | ISBN: | [9789897587030] | DOI: | 10.5220/0012553400003702 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Conference Papers | Affiliation: | Cyprus University of Technology | metadata.dc.description.sponsorship: | This work was supported by the European Union’s Horizon Europe program for Research and Innovation through the aerOS project under Grant No. 101069732 as well as by the European Regional Development Fund and the Republic of Cyprus through the Cyprus Research and Innovation Foundation (MDigi-I: STRATEGIC INFRASTRUCTURES/1222/0113) | Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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