Browsing by Author "Kirimtat, Ayca"

Now showing 1 - 6 of 6

Citation - WoS: 9
Citation - Scopus: 13
Designing Self-Sufficient Floating Neighborhoods Using Computational Decision Support
(IEEE, 2015) Ayca Kirimtat; Ioannis Chatzikonstantinou; Sevil Sariyildiz; Ayca Tartar; Sariyildiz, Sevil; Tartar, Ayca; Chatzikonstantinou, Ioannis; Kirimtat, Ayca
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.
Citation - WoS: 263
Citation - Scopus: 410
Future Trends and Current State of Smart City Concepts: A Survey
(Institute of Electrical and Electronics Engineers Inc., 2020) Ayca Kirimtat; Ondřej Krejcar; Attila Kertesz; M. Fatih Tasgetiren; Krejcar, Ondrej; Tasgetiren, M. Fatih; Kertesz, Attila; Kirimtat, Ayca
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. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 4
Multi-objective harmony search algorithm for layout design in theatre hall acoustics
(Institute of Electrical and Electronics Engineers Inc., 2016) Cemre Cubukcuoglu; Ayca Kirimtat; M. Fatih Tasgetiren; Ponnuthurai Nagaratnam Suganthan; Quanke Pan; Tasgetiren, M. Faith; Suganthan, P. N.; Cubukcuoglu, Cemre; Pan, Quan-Ke; Kirimtat, Ayca
The aim of the research is to find a feasible set of theatre hall design alternatives for two objectives which are the total cost and the reverberation time subject to several constraints. We formulate the problem as a multi-objective realparameter constrained optimization problem. To handle this problem we investigated two different optimization algorithms namely a Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and a multi-objective Harmony Search algorithm (MOHS) in order to gather Pareto front approximation with a set of non-dominated solutions. We demonstrate that the MOHS yields slightly better results than the NSGA-II algorithm. © 2017 Elsevier B.V. All rights reserved.
Citation - WoS: 8
Citation - Scopus: 14
Multi-Objective Optimization For Shading Devices in Buildings By Using Evolutionary Algorithms
(IEEE, 2016) Ayca Kirimtat; Basak Kundakci Koyunbaba; Ioannis Chatzikonstantinou; Sevil Sariyildiz; Ponnuthurai Nagaratnam Suganthan; Sariyildiz, Sevil; Chatzikonstantinou, Ioannis; Suganthan, Ponnuthurai Nagaratnam; Koyunbaba, Basak Kundakci; Kirimtat, Ayca
The reduction of energy consumption is a major challenge around the world. Architectural aspects have a significant place to minimize energy consumption to the maximum level. The use of large glazed facades causes overheating problems in certain climatic regions. Shading elements must be considered at an early stage in the design process to overcome this problem. An application of the method is presented focusing on the horizontal louvers integrated to a building in Izmir Turkey. The contributions of the paper can be summarized as follows. We show that most architectural design problems are basically real-parameter multi-objective constrained optimization problems. So any type of evolutionary and swarm optimization methods can be used in this field. A multi-objective self-adaptive differential evolution algorithm (jDEMO) inspired from the DEMO algorithm from the literature with some modifications is developed and compared to the well-known fast and nondominated sorting genetic algorithm so called NSGA-II in order to solve this complex problem and identify alternative design solutions to decision makers. Through the experimental results we show that the proposed algorithm generated slightly better results when comparing to the NSGA-II algorithm.
Citation - WoS: 6
Citation - Scopus: 10
Multi-performance based computational model for the cuboid open traveling salesman problem in a smart floating city
(PERGAMON-ELSEVIER SCIENCE LTD, 2021) Ayca Kirimtat; Ondrej Krejcar; M. Fatih Fatih Tasgetiren; Enrique Herrera-Viedma; Krejcar, Ondrej; Herrera-Viedma, Enrique; Tasgetiren, M. Fatih; Fatih Tasgetiren, M.; Kirimtat, Ayca
The term ?smart city? has been emerged as a novel solution to uphold the useless urban areas and the term has taken the advantage of sustainable and environmental resources. On the other hand the term ?floating city? has been studied for just only a few years as alternative living spaces for humanity across the world since land scarcity has already begun. Therefore in this research we propose multi-objective optimization algorithms to obtain the Pareto front solutions for the cuboid open traveling salesman problem (COTSP) in a ?smart floating city? context. Given n nodes and the distances between each pair of nodes the COTSP in this paper aims to find the shortest possible tour with a traveling distance that starts from the depot (i.e. node 1) and visits each node exactly once without needing to return to the depot. As known a cuboid has height length and depth and the COTSP defines its x y z coordinates as a cuboid corresponding to height length and depth. In addition to the traveling distance the platform (building breakwaters) cost is measured by the z coordinates (depths) of the nodes/platforms that represent both the platforms below the sea level. Note that unlike the traditional TSP it has a variable seed number and a variable number of nodes/platforms in each solution. The paper aims to find the Pareto front solutions by minimizing the traveling distance and platform cost of the infrastructures below the sea level simultaneously. We develop a multi-objective self-adaptive differential evolution (MOJDE) algorithm a nondominated sorting genetic algorithm (NSGAII) and a harmony search (MOHS) algorithm to solve the problem in such a way that we minimize the traveling distance while minimizing the platform cost simultaneously. All algorithms are compared to each other. The computational results show that the MOJDE and NSGAII algorithms outperform the MOHS algorithm in terms of commonly used performance measures from the literature.
Citation - WoS: 258
Citation - Scopus: 318
Review of simulation modeling for shading devices in buildings
(PERGAMON-ELSEVIER SCIENCE LTD, 2016) Ayca Kirimtat; Basak Kundakci Koyunbaba; Ioannis Chatzikonstantinou; Sevil Sariyildiz; Sariyildiz, Sevil; Chatzikonstantinou, Ioannis; Koyunbaba, Basak Kundakci; Kirimtat, Ayca
Many countries around the world are confronted with the challenge of decreasing energy consumption while the use of electrical appliances is continuously increasing in buildings. The requirement to minimize the energy consumption can be fulfilled by revaluating architectural aspects. One of these aspects is related to overheating problems caused by facades with large glazed portions. In such designs shading elements must carefully be integrated and considered at an early-design stage in the design process. Shading of buildings is crucial especially in climates with hot summer. It is significant to protect the window from solar radiation in summer while allowing maximum solar radiation in winter. For this reason precise figures of their performance are needed. As such simulation tools are often used for identifying the most suitable shading element that suits the building. In literature there are many studies that have been done to designate the energy performance of shading devices in buildings by using simulation tools. This study focuses both on the shading device types used in the building sector and the previous studies done for designating the performance aspects of different shading devices types. Numerous studies for different building types located in different climatic regions have been reviewed in order to underline the importance of simulation modeling for shading devices in buildings. (C) 2015 Elsevier Ltd. All rights reserved.