Container ship stowage plan using steepest ascent hill climbing, genetic, and simulated annealing algorithms
Yurtseven, M. A. and Boulougouris, E. and Turan, O.; Kujala, Pentti and Lu, Liangliang, eds. (2018) Container ship stowage plan using steepest ascent hill climbing, genetic, and simulated annealing algorithms. In: Marine Design XIII. CRC Press, FIN, pp. 617-623. ISBN 9781138541870
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Container ship stowage plan is a vital subject on reducing additional cost from shifting and the vessel’s turn-around time in maritime ports. However, making proper stowage plan is not straightforward since this subject is literally known as a NP-hard problem. Several studies have been conducted to solve this problem despite it has not been dealt with completely. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports. The most common way of finding the optimal solution is to consult algorithms for container vessel stowage problem. In this study, Steepest Ascent Hill Climbing, Genetic and Simulated Annealing algorithms are implemented considering the same size and two different types of containers (refrigerated and standard containers). After obtaining the numerical test results from three algorithms implementation, their performances for the problem solution are compared and evaluated.
ORCID iDs
Yurtseven, M. A. ORCID: https://orcid.org/0000-0002-0893-8357, Boulougouris, E. ORCID: https://orcid.org/0000-0001-5730-007X and Turan, O.; Kujala, Pentti and Lu, Liangliang-
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Item type: Book Section ID code: 67146 Dates: DateEvent11 June 2018Published31 October 2017AcceptedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 05 Mar 2019 12:35 Last modified: 11 Nov 2024 15:16 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/67146