Çubukçuoğlu, Cemre

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12880
Name Variants
Job Title
Dr.Öğr.Üyesi
Email Address
Main Affiliation
01.01.10.01. İç Mimarlık ve Çevre Tasarımı Bölümü
Status
Current Staff
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ORCID ID
Scopus Author ID
57190424919
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
IYM-1918-2023

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
2
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
1
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

16

Citations

324

h-index

9

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Documents

15

Citations

252

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Scholarly Output

16

Articles

9

Views / Downloads

0/2

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

246

Scopus Citation Count

328

Patents

0

Projects

0

WoS Citations per Publication

15.38

Scopus Citations per Publication

20.50

Open Access Source

9

Supervised Theses

0

JournalCount
2017 IEEE Congress on Evolutionary Computation CEC 20172
IEEE Congress on Evolutionary Computation (CEC)2
Algorithms2
Automation in Construction1
Building and Environment1
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Now showing 1 - 10 of 16
  • Thumbnail Image
    Conference Object
    Citation - WoS: 5
    Citation - Scopus: 7
    A Memetic Algorithm for the Bi-Objective Quadratic Assignment Problem
    (ELSEVIER SCIENCE BV, 2019) Cemre Cubukcuoglu; M. Fatih Tasgetiren; I. Sevil Sariyildiz; Liang Gao; Murat Kucukvar; Tasgetiren, M. Fatih; Kucukvar, Murat; Sariyildiz, I. Sevil; Fatih Tasgetiren, M.; Cubukcuoglu, Cemre; Sevil Sariyildiz, I.; Gao, Liang; CH Dagli; GA Suer
    Recently multi-objective evolutionary algorithms (MOEAs) have been extensively used to solve multi-objective optimization problems (MOPs) since they have the ability to approximate a set of non-dominated solutions in reasonable CPU times. In this paper we consider the bi-objective quadratic assignment problem (bQAP) which is a variant of the classical QAP which has been extensively investigated to solve several real-life problems. The bQAP can be defined as having many input flows with the same distances between the facilities causing multiple cost functions that must be optimized simultaneously. In this study we propose a memetic algorithm with effective local search and mutation operators to solve the bQAP. Local search is based on swap neighborhood structure whereas the mutation operator is based on ruin and recreate procedure. The experimental results show that our bi-objective memetic algorithm (BOMA) substantially outperforms all the island-based variants of the PASMOQAP algorithm proposed very recently in the literature. (C) 2019 The Authors. Published by Elsevier Ltd.
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    Conference Object
    Citation - WoS: 9
    Citation - Scopus: 10
    Multi-Objective skylight optimization for a healthcare facility foyer space
    (Institute of Electrical and Electronics Engineers Inc., 2017) Muhittin Yufka; Berk Ekici; Cemre Cubukcuoglu; Ioannis Chatzikonstantinou; I. Sevil Sariyildiz; Ekici, Berk; Chatzikonstantinou, Ioannis; Sariyildiz, I. Sevil; Yufka, Muhittin; Cubukcuoglu, Cemre
    In this paper the design of a specific case study of a foyer space is concerned in healthcare facility. The design task of a healthcare facility in architectural perspective is one of the most challenging tasks in the architectural design field since it involves different spaces that have unique requirements. Specifically a foyer space has been considered as a gathering area that answers people's needs and expectations. The study shows an application of computational intelligence for a skylight design in foyer space. For this reason objective functions are considered to minimize skylight cost and to maximize the daylight performance of the interior space. Multi-Objective Self-Adaptive Ensemble Differential Evolution Algorithm and Non-Dominated Sorting Genetic Algorithm-II are proposed to tackle this complex problem. According to results jE-DEMO algorithm presents satisfactory solutions as well as NSGA-II. © 2017 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 5
    Citation - Scopus: 5
    Daylight Enhancement Strategies Through Roof for Heritage Buildings
    (Solarlits, 2024) Nurefsan Sönmez; Arzu Cilasun Kunduraci; Cemre Cubukcuoglu; Çubukçuoğlu, Cemre; Sönmez, Nurefşan; Kunduracı, Arzu Cılasun
    Enhancing daylighting in heritage buildings is a complex challenge that requires a delicate balance between preserving architectural integrity and improving visual comfort. This paper investigates enhancing daylight in heritage buildings balancing preservation and visual comfort. It focuses on a 1905 heritage building undergoing reconstruction addressing insufficient daylight on the ground floor and glare on the first floor. The study investigated novel design solutions by using simulation and optimization approaches. A multiobjective optimization algorithm called JDEMO Algorithm (a multi-objective self-adaptive differential evolution algorithm) was utilized to obtain Pareto optimal results and integrated with performative simulations using ClimateStudio (CS) plug-in for Grasshopper. Strategies include altering skylight glazing materials surface materials and using Tubular Daylight Guidance Systems (TDGS). Results show TDGS with larger diameters improve Useful Daylight Illuminance (UDI) and reduce Spatial Disturbing Glare (sDG). Material selection impacts daylight distribution emphasizing the importance of skylight glazing materials. While specific to one case this research has wider implications for heritage preservation and daylighting. By innovating sustainable design it contributes to preserving heritage buildings while enhancing visual comfort. © 2024 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 29
    Citation - Scopus: 38
    Hospital layout design renovation as a Quadratic Assignment Problem with geodesic distances
    (ELSEVIER, 2021) Cemre Cubukcuoglu; Pirouz Nourian; M. Fatih Tasgetiren; I. Sevil Sariyildiz; Shervin Azadi; Nourian, Pirouz; Azadi, Shervin; Tasgetiren, M. Fatih; Sariyildiz, I. Sevil; Cubukcuoglu, Cemre
    Hospital facilities are known as functionally complex buildings. There are usually configurational problems that lead to inefficient transportation processes for patients medical staff and/or logistics of materials. The Quadratic Assignment Problem (QAP) is a well-known problem in the field of Operations Research from the category of the facility's location/allocation problems. However it has rarely been utilized in architectural design practice. This paper presents a formulation of such logistics issues as a QAP for space planning processes aimed at renovation of existing hospitals a heuristic QAP solver developed in a CAD environment and its implementation as a computational design tool designed to be used by architects. The tool is implemented in C# for Grasshopper (GH) a plugin of Rhinoceros CAD software. This tool minimizes the internal transportation processes between interrelated facilities where each facility is assigned to a location in an existing building. In our model the problem of assignment is relaxed in that a single facility may be allowed to be allocated within multiple voxel locations thus alleviating the complexity of the unequal area assignment problem. The QAP formulation takes into account both the flows between facilities and distances between locations. The distance matrix is obtained from the spatial network of the building by using graph traversal techniques. The developed tool also calculates spatial geodesic distances (walkable easiest and/or shortest paths for pedestrians) inside the building. The QAP is solved by a heuristic optimization algorithm called Iterated Local Search. Using one exemplary real test case we demonstrate the potential of this method in the context of hospital layout design/re-design tasks in 3D. Finally we discuss the results and possible further developments concerning a generic computational space planning framework.
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    Conference Object
    Citation - WoS: 4
    Citation - Scopus: 7
    Evolutionary Computation for Architectural Design of Restaurant Layouts
    (IEEE, 2015) Cemre Ugurlu; Ioannis Chatzikonstantinou; Sevil Sariyildiz; M. Fatih Tasgetiren; Sariyildiz, Sevil; Chatzikonstantinou, Ioannis; Tasgetiren, M. Fatih; Ugurlu, Cemre
    This paper presents the results obtained by NSGA-II and DE on a restaurant layout optimization problem trying to maximize total profit while minimizing investment. The problem entails the configuration of restaurant functions the decisions regarding the restaurant shell composition (fraction and position of windows dimensions) and how to shape and place the kitchen and service areas. The NSGA-II and DE algorithms are implemented in a Parametric Design Environment that is familiar in the architectural practice. We demonstrate that the DE algorithm achieves slightly better performance in terms of hypervolume calculation and achieve promising results when the Pareto front approximation is examined. To the best of our knowledge this is the first application of multi-objective approach for restaurant design.
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    Article
    Citation - WoS: 12
    Citation - Scopus: 19
    Optimal Design of new Hospitals: A Computational Workflow for Stacking- Zoning- and Routing
    (ELSEVIER, 2022) Cemre Cubukcuoglu; Pirouz Nourian; I. Sevil Sariyildiz; M. Fatih Tasgetiren; Nourian, Pirouz; Tasgetiren, M. Fatih; Sariyildiz, I. Sevil; Cubukcuoglu, Cemre
    The paper proposes a generative design workflow for three major hospital layout planning steps to satisfy multiplex configurational requirements. The initial step is stacking through clustering functional spaces into floor plans for which a spectral method is presented. Subsequently a novel simultaneous process of zoning and routing is proposed as a Mixed-Integer Programming problem-solving task, performed on a quadrilateral mesh whose faces and edges are allocated respectively to the rooms and the corridors. The paper situates the workflow in the context of an Activity-Relations-Chart for a general hospital while demonstrating explaining and justifying the generated optimal floor plans. The conversion of the hospital layout problem to a Mixed-Integer Programming problem enables the use of existing Operations Research solvers allowing for the generation of optimal solutions in a digital design environment. The comprehensive problem formulation for a real-world scenario opens a new avenue for utilization of mathematical programming/optimization in healthcare design.
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    Article
  • Thumbnail Image
    Conference Object
    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.
  • Thumbnail Image
    Conference Object
    Citation - WoS: 7
    Citation - Scopus: 9
    Multi-Objective Optimization Through Differential Evolution for Restaurant Design
    (IEEE, 2016) Cemre Cubukcuoglu; Ioannis Chatzikonstantinou; Berk Ekici; Sevil Sariyildiz; M. Fatih Tasgetiren; Ekici, Berk; Sariyildiz, Sevil; Chatzikonstantinou, Ioannis; Tasgetiren, M. Fatih; Cubukcuoglu, Cemre
    This paper presents the results obtained by NSGA-II and jDEMO on a restaurant design optimization in the conceptual phase. A multi-objective problem is formulated by considering the minimization of investment and the maximization of customer count and maximization of visual perception subject to several constraints. The main problem requires the configuration of restaurant spaces with different seating groups decisions regarding the customer capacity fraction and position of the windows. 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 non-dominated 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 is competitive with the NSGA-II algorithm.
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    Conference Object
    Citation - WoS: 5
    Citation - Scopus: 7
    Identification of Sustainable Designs for Floating Settlements Using Computational Design Techniques
    (IEEE, 2015) Cemre Ugurlu; Ioannis Chatzikonstantinou; Sevil Sariyildiz; Mehmet Fatih Tasgetiren; Sariyildiz, Sevil; Chatzikonstantinou, Ioannis; Tasgetiren, M. Fatih; Ugurlu, Cemre
    This paper focuses on the conceptual design and the development of a floating neighborhood by taking advantage of computational methods. An application to a concept design of a floating neighborhood in the region of Urla - a coastal town close to Izmir in Turkey has been studied. The scenario that has been addressed concerns the development of an efficient floating settlement between four islands that are local to the study region. The whole study revolves around two issues first one is about configuration of the functions (accommodation marine yacht club public area) in order to maximize accessibility wind protection and visibility subject to both technical and nontechnical constraints. Second issue is to find a suitable form generated by shortest walk algorithm that decides how to create roads between functions where their places are gathered from optimization solutions. For the configuration of the functions since wind protection and visibility objectives as well as accessibility and visibility are conflicting with each other we make use of multi-objective evolutionary algorithms. The NSGA-II and DE algorithms are implemented in a Parametric Design Environment that is familiar in the architectural practice. We demonstrate that the NSGA-II performs slightly better in terms of hyper volume calculation and achieves promising results when the Pareto front approximation is examined.