Title: Multi-objective evolutionary algorithm for a ship routing problem in maritime logistics collaboration

Authors: Eric Wibisono; Phongchai Jittamai

Addresses: Department of Industrial Engineering, Faculty of Engineering, University of Surabaya, Raya Kalirungkut, Surabaya 60293 Indonesia ' School of Industrial Engineering, Institute of Engineering, Suranaree University of Technology, 111 University Avenue, Muang District, Nakhon Ratchasima 30000 Thailand

Abstract: This paper proposes a multi-objective evolutionary algorithm in maritime logistics collaboration of two liner shipping companies in joint-routing network design. The model is called the ship routing problem and two objectives being minimised are total cost and deviation in fair cost proportion. The method combines NSGA-II and the principles of effective genetic algorithms from the literature, and an example of application with data background from the Indonesian archipelago is demonstrated. Both the method and its application in real-life problems have never been encountered in academic publication, therefore this research has significant contribution and practical values on those fronts. Three dispersal mechanisms are tested with two different mutation probabilities and the results suggest that different rate supports different mechanism. Running times are longer in higher mutation rate, but in general the DV(1) mechanism is faster than both DL mechanisms. Non-dominated solutions are found and translated to joint routings of both carriers.

Keywords: multi-objective evolutionary algorithm; ship routing problem; maritime logistics collaboration; routing network design; Indonesian archipelago.

DOI: 10.1504/IJLSM.2017.086357

International Journal of Logistics Systems and Management, 2017 Vol.28 No.2, pp.225 - 252

Received: 24 Feb 2016
Accepted: 21 Jun 2016

Published online: 04 Sep 2017 *

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