Designing self-sufficient floating neighborhoods using computational decision support

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Date

2015

Authors

Ayca Kirimtat
Ioannis Chatzikonstantinou
I. Sevil Sariyildiz
Ayca Tartar

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

Yes

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Publicly Funded

No
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Top 10%
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Top 10%
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Average

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Abstract

Floating settlements which introduce further design complexities over traditional developments have become an alternative for urban development due to climate change and shortage of land. This study aims to develop a floating settlement concept that presents an approach to the design of floating neighborhoods using parametric modelling techniques in combination with Intelligent Decision Support tools and optimization methods. Optimization results of two algorithms namely NSGA-II and DE are compared regarding to objectives. The objectives considered in this study are walkability within the neighborhoods scenic view and cost-effectiveness. Results suggest that DE performs better than NSGA-II in this problem. An application of the method is presented focusing on the design of floating neighborhoods in the project area namely Urla which is a seaside place along the coastline of Izmir Turkey. © 2017 Elsevier B.V. All rights reserved.

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Keywords

Computational Decision Support, Evolutionary Algorithms, Floating Neighborhoods, Multi-objective Optimization, Parametric Modelling, Climate Change, Cost Effectiveness, Evolutionary Algorithms, Multiobjective Optimization, Optimization, Urban Growth, Decision Supports, Design Complexity, Floating Neighborhoods, Intelligent Decision Support Tools, Nsga-ii, Optimization Method, Parametric Modelling, Urban Development, Decision Support Systems, Climate change, Cost effectiveness, Evolutionary algorithms, Multiobjective optimization, Optimization, Urban growth, Decision supports, Design complexity, floating neighborhoods, Intelligent decision support tools, NSGA-II, Optimization method, Parametric modelling, Urban development, Decision support systems

Fields of Science

0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

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OpenCitations Citation Count
9

Source

IEEE Congress on Evolutionary Computation CEC 2015

Volume

Issue

Start Page

2261

End Page

2268
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CrossRef : 7

Scopus : 13

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Mendeley Readers : 13

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