Picture of model of urban architecture

Open Access research that is exploring the innovative potential of sustainable design solutions in architecture and urban planning...

Strathprints makes available scholarly Open Access content by researchers in the Department of Architecture based within the Faculty of Engineering.

Research activity at Architecture explores a wide variety of significant research areas within architecture and the built environment. Among these is the better exploitation of innovative construction technologies and ICT to optimise 'total building performance', as well as reduce waste and environmental impact. Sustainable architectural and urban design is an important component of this. To this end, the Cluster for Research in Design and Sustainability (CRiDS) focuses its research energies towards developing resilient responses to the social, environmental and economic challenges associated with urbanism and cities, in both the developed and developing world.

Explore all the Open Access research of the Department of Architecture. Or explore all of Strathclyde's Open Access research...

Container vessel stowage plan using genetic, hill-climbing and simulated annealing algorithms

Yurtseven, Mehmet Ali and Boulougouris, Evangelos and Turan, Osman (2018) Container vessel stowage plan using genetic, hill-climbing and simulated annealing algorithms. In: Marine Design XIII. CRC Press, Boca Raton, FL. ISBN 9781138541870

[img] Text (Yurtseven-etal-IMDC-2018-Container-vessel-stowage-plan-using-genetic-hill-clilmbing)
Yurtseven_etal_IMDC_2018_Container_vessel_stowage_plan_using_genetic_hill_clilmbing.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 11 June 2019.

Download (558kB) | Request a copy from the Strathclyde author

Abstract

Container vessel stowage is vital for reducing extra cost and the vessel’s turn-around time in ports. Several studies have been conducted to be able to solve this problem. However, this problem has not been dealt with completely due to container stowage problem is complex problem which is literally considered as a NP-hard problem. Hence, the principal objective of this study is to find optimal container stowage plan for container vessel calling at multiple ports. Algorithms are the most widely-used methods for finding optimal solution in container vessel stowage problem. In this study, Genetic, Hill-Climbing and Simulated Annealing algorithm are implemented considering same size and two different types of containers (refrigerated and standard containers). After finding the numerical test results from these three algorithms, the effectiveness of the algorithms for the problem are evaluated.