DocumentCode :
2548407
Title :
Optimisation model and exact algorithm for autonomous straddle carrier scheduling at automated container terminals
Author :
Cai, Binghuang ; Huang, Shoudong ; Liu, Dikai ; Yuan, Shuai ; Dissanayake, Gamini ; Lau, Haye ; Pagac, Daniel
Author_Institution :
Centre for Autonomous Syst. (CAS), Univ. of Technol., Broadway, NSW, Australia
fYear :
2011
fDate :
25-30 Sept. 2011
Firstpage :
3686
Lastpage :
3693
Abstract :
In this paper, an optimisation model based on Pickup and Delivery Problem with Time Windows (PDPTW), and an exact algorithm based on Branch-and-Bound with Column Generation (BBCG), are presented for Autonomous Straddle Carriers Scheduling (ASCS) problem at automated container terminals. The ASCS problem is firstly modeled into a PDPTW, which is formulated as a Binary Integer Programming (BIP) and then solved by Column Generation (CG) in the Branch-and-Bound (BB) framework. The BBCG algorithm is also compared to another two exact algorithms [i.e., Binary integer Programming with Dynamic Programming (BPDP) and Exhaustive Search with Permutation and Combination (ESPC)] for the ASCS problem solving. Based on the map of an actual automated container terminal, simulation results and discussions are presented to demonstrate the effectiveness and efficiency of the presented model and algorithm for autonomous vehicle scheduling.
Keywords :
integer programming; scheduling; sea ports; transportation; tree searching; automated container terminals; autonomous straddle carrier scheduling; autonomous vehicle scheduling; binary integer programming; branch-and-bound with column generation; exact algorithm; optimisation model; pickup and delivery problem with time windows; Containers; Dynamic programming; Heuristic algorithms; Linear programming; Mathematical model; Optimization; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location :
San Francisco, CA
ISSN :
2153-0858
Print_ISBN :
978-1-61284-454-1
Type :
conf
DOI :
10.1109/IROS.2011.6094797
Filename :
6094797
Link To Document :
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