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A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements. / Cubukcuoglu, Cemre; Chatzikonstantinou, Ioannis; Tasgetiren, Mehmet Fatih; Sariyildiz, I. Sevil; Pan, Quan Ke.

In: Algorithms , Vol. 9, No. 3, 51, 2016, p. 1-17.

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@article{1383670aa6a04088bf74b0ccf24ea654,
title = "A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements",
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.",
keywords = "Computational design, Evolutionary computation, Floating city optimization, Harmony search algorithm, Multi-objective optimization, Performance-based design",
author = "Cemre Cubukcuoglu and Ioannis Chatzikonstantinou and Tasgetiren, {Mehmet Fatih} and Sariyildiz, {I. Sevil} and Pan, {Quan Ke}",
year = "2016",
doi = "10.3390/a9030051",
language = "English",
volume = "9",
pages = "1--17",
journal = "Algorithms ",
issn = "1999-4893",
publisher = "MDPI",
number = "3",

}

RIS

TY - JOUR

T1 - A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements

AU - Cubukcuoglu, Cemre

AU - Chatzikonstantinou, Ioannis

AU - Tasgetiren, Mehmet Fatih

AU - Sariyildiz, I. Sevil

AU - Pan, Quan Ke

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Computational design

KW - Evolutionary computation

KW - Floating city optimization

KW - Harmony search algorithm

KW - Multi-objective optimization

KW - Performance-based design

UR - http://www.scopus.com/inward/record.url?scp=84979944464&partnerID=8YFLogxK

UR - http://resolver.tudelft.nl/uuid:1383670a-a6a0-4088-bf74-b0ccf24ea654

U2 - 10.3390/a9030051

DO - 10.3390/a9030051

M3 - Article

AN - SCOPUS:84979944464

VL - 9

SP - 1

EP - 17

JO - Algorithms

JF - Algorithms

SN - 1999-4893

IS - 3

M1 - 51

ER -

ID: 7578146