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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.

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Optimization of container stowage using simulated annealing and genetic algorithms

Yurtseven, M.A. and Boulougouris, E. and Turan, O. and Papadopoulos, N. (2017) Optimization of container stowage using simulated annealing and genetic algorithms. In: Maritime Transportation and Harvesting of Sea Resources. CRC/Taylor & Francis Group, [S.I.], pp. 881-886. ISBN 9780815379935

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Abstract

The purpose of this paper is to investigate the optimization of container stowage plan problem for a container vessel with multiple ports of call. Generally, container vessels visit many different ports on their voyage. Due to the loading and offloading at each port, finding the stowage planning for container vessel is getting more difficult for each subsequent port and also the complexity in stowage planning increases. For that reason, container stowage problem is called NP-hard problem. Genetic Algorithm and Simulated Annealing Algorithm are implemented herein to obtain the optimum solution. After finding the optimum solution from these two algorithms, the results are compared to evaluate their computational cost and efficiency.