Designing self-sufficient floating neighborhoods using computational decision support

Kirimtat, Ayca; Chatzikonstantinou, Ioannis; Sarıyıldız, Sevil; Tartar, Ayça

doi:10.1109/cec.2015.7257164

Cited by 9 publications

(9 citation statements)

References 5 publications

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“…To summarize these results, we can state that an ideal smart city should reflect the most popular themes, and implement services related to these categories. The most likely approach we found in the literature having these properties is the approach of smart floating cities [127]. The goal of any floating city or settlement is to explore optional living spaces and prevent human suffering across the world.…”

Section: Resultsmentioning

confidence: 99%

“…In the study by Kirimtat et al [127], a floating settlement concept was developed using parametric modeling techniques in combination with Intelligent Decision Support tools and optimization methods. The results of two optimization algorithms NSGA-II (Non-Dominated Sorting Genetic Algorithm-II) and DE (Differential Evolution) were compared based on the objective functions considered in the research.…”

Section: Discussionmentioning

confidence: 99%

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Future Trends and Current State of Smart City Concepts: A Survey

et al. 2020

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Intelligent systems are wanting for cities to cope with limited spaces and resources across the world. As a result, smart cities emerged mainly as a result of highly innovative ICT industries and markets, and additionally, they have started to use novel solutions taking advantage of the Internet of Things (IoT), big data and cloud computing technologies to establish a profound connection between each component and layer of a city. Several key technologies congregate to build a working smart city considering human requirements. Even though the smart city concept is an advanced solution for today's cities, recently, more living spaces should be discovered, and the concept of a smart city could be moved to these alternative living spaces, namely floating cities. The concept of a floating city emerged as a novel solution due to rising sea levels and land scarcity in order to provide alternative living spaces for humanity. In this article, our main research question is to raise awareness on the current state of smart city concepts across the world by understanding the key future trends, including floating cities, by motivating researchers and scientists through new IoT technologies and applications. Therefore, we present a survey of smart city initiatives and analyze their key concepts and different data management techniques. We performed a detailed literature survey and review by applying a complex literature matrix including terms, like smart people, smart economy, smart governance, smart mobility, smart environment, and smart living. We also discuss multiple perspectives of smart floating cities in detail. With the proposed approach, recent advances and practical future opportunities for smart cities can be revealed.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Future Trends and Current State of Smart City Concepts: A Survey

et al. 2020

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“…Amongst them, NSGA-II [9] and SPEA-2 [10] are the most studied ones to deal with MOPs in the literature. As an extension of [7], CGA and CGA_DE are developed and implemented in order to solve the complex floating neighborhood design problem.…”

Section: Proposed Evolutionary Algorithmsmentioning

confidence: 99%

“…We foresee that combining these two disciplines in the conceptual phase can play a key role in the development of future floating settlements. As an extension of [7], this paper develops a novel design methodology for the design of a self-sufficient floating neighborhood through implementations of evolutionary algorithms. Briefly, we combine knowledge from Floating Settlements Design practice with Computational Intelligence.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Algorithms for Designing Self-sufficient Floating Neighborhoods

Kirimtat

Ekici

Cubukcuoglu

et al. 2018

Management and Industrial Engineering

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Floating neighborhoods are innovative and promising urban areas for challenges in the development of cities and settlements. However, this design task requires a lot of considerations and technical challenges. Computational tools and methods can be beneficial to tackle the complexity of floating neighborhood design. This paper considers the design of a self-sufficient floating neighborhood by using computational intelligence techniques. In this respect, we consider a design problem for locating each neighborhood function in each cluster with a certain density within a floating neighborhood. In order to develop a self-sufficient floating neighborhood, we propose multi-objective evolutionary algorithms, namely, a self-adaptive real-coded genetic algorithm (CGA) as well as a self-adaptive real-coded genetic algorithm (CGA_DE) employing mutation operator of differential evolution algorithm. The only difference between CGA and CGA_DE is the fact that CGA uses random immigration of certain individuals into the population as a mutation operator whereas in the mutation phase of CGA_DE algorithm, the traditional mutation operator DE/rand/1/bin of DE algorithms. The arrangement of individual functions to develop each neighborhood function is further elaborated and formed by using Voronoi diagram algorithm. An application to design a self-sufficient floating neighborhood in Urla district, which is on the west coast of Turkey,İzmir, is presented.

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“…In this regard, Pareto front approximation is an efficient way to distinguish between inferior and good solutions. Recently, in [4], the authors worked on identifying configurations of functions for a floating neighborhood design proposal by using multi-objective optimization. Two evolutionary algorithms are developed and their results are compared with each other.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2016

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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.

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Designing self-sufficient floating neighborhoods using computational decision support

Cited by 9 publications

References 5 publications

Future Trends and Current State of Smart City Concepts: A Survey

Future Trends and Current State of Smart City Concepts: A Survey

Evolutionary Algorithms for Designing Self-sufficient Floating Neighborhoods

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

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