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Algorithms 2016, 9(3), 51; doi:10.3390/a9030051

A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements

1
Department of Interior Architecture and Environmental Design, Yasar University, Izmir 35100, Turkey
2
Department of Architecture, Yasar University, Izmir 35100, Turkey
3
Faculty of Architecture, Delft University of Technology, Delft 2600, The Netherlands
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Industrial Engineering Department, Yasar University, Izmir 35100, Turkey
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Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
This paper is an extended version of our paper entitled “Identification of Sustainable Designs for Floating Settlements Using Computational Design Techniques”, published in the IEEE Congress on Evolutionary Computation, Sendai, Japan, 25–28 May 2015.
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Author to whom correspondence should be addressed.
Academic Editor: Javier Del Ser Lorente
Received: 26 April 2016 / Revised: 24 July 2016 / Accepted: 27 July 2016 / Published: 30 July 2016
(This article belongs to the Special Issue Metaheuristic Algorithms in Optimization and Applications)

Abstract

This paper is concerned with the application of computational intelligence techniques to the conceptual design and development of a large-scale floating settlement. The settlement in question is a design for the area of Urla, which is a rural touristic region located on the west coast of Turkey, near the metropolis of Izmir. The problem at hand includes both engineering and architectural aspects that need to be addressed in a comprehensive manner. We thus adapt the view as a multi-objective constrained real-parameter optimization problem. Specifically, we consider three objectives, which are conflicting. The first one aims at maximizing accessibility of urban functions such as housing and public spaces, as well as special functions, such as a marina for yachts and a yacht club. The second one aims at ensuring the wind protection of the general areas of the settlement, by adequately placing them in between neighboring land masses. The third one aims at maximizing visibility of the settlement from external observation points, so as to maximize the exposure of the settlement. To address this complex multi-objective optimization problem and identify lucrative alternative design solutions, a multi-objective harmony search algorithm (MOHS) is developed and applied in this paper. When compared to the Differential Evolution algorithm developed for the problem in the literature, we demonstrate that MOHS achieves competitive or slightly better performance in terms of hyper volume calculation, and gives promising results when the Pareto front approximation is examined. View Full-Text
Keywords: evolutionary computation; harmony search algorithm; computational design; floating city optimization; performance-based design; multi-objective optimization evolutionary computation; harmony search algorithm; computational design; floating city optimization; performance-based design; multi-objective optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Cubukcuoglu, C.; Chatzikonstantinou, I.; Tasgetiren, M.F.; Sariyildiz, I.S.; Pan, Q.-K. A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements. Algorithms 2016, 9, 51.

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