-Ashdown, I., Bedocs, L., & Carroll, W. (2006). Test Cases to Assess the Accuracy of Lighting Computer Programs. International Commission on Illumination,CIE,171.

-AibaghiEsfahani, H., Momeni, K., & Hassanpour, F. (2020). Finding the Best Orientation of the Educational Buildings in Hot Arid Regions in Iran, in order to achieve the Optimum Annual Energy Consumption, Using Computer Simulation (Case Study: A Double Class School in Zahedan). Space Ontology International Journal, 9(1), 13-36.

-Arbab, M., Mahdavinejad, M., & Bemanian, M. (2020). Comparative Study on New lighting Technologies and Buildings Plans for High-performance Architecture. Journal of Solar Energy Research, 5(4), 580-593.

-Behnam,H.(2016). Analysis of the effect of intelligent second shells in optimizing and reducing the energy consumption of tall buildings. The third tall buildings conference.(In persian)

-Bakmohammadi, P., & Noorzai, E. (2020). Optimization of the design of the primary school classrooms in terms of energy and daylight performance considering occupants’ thermal and visual comfort. Energy Reports, 6, 1590-1607.

-Borzouei,A., Zandieh,M., & Heidari,Sh.(2020). Analyzing the Use of Origami to Increase the Solar     Radiation on Photovoltaic Panels Through Software Simulation. Scientific Journal of Architecture and Urban Planning of Iran,189-203. (In persian)

ـ Bazazzadeh, H., Świt-Jankowska, B., Fazeli, N., Nadolny, A., & Mahdavinejad. M. (2021). Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Frame work of High-Performance Architecture for an Office Building in Tehran. Energies, 14(24), 8272. 

-CSN, EN, 12464-2, Lighting of Work Places - Part 2: Outdoor Work Places, European Committee for   Standardization, 2007.

ـ Dutra de Vasconcellos, G. (2017). Evaluation of annual sunlight exposure (ASE) as a proxy to glare: a field study in a NZEB and LEED certified office in San Francisco.

• Fadaii Ardestani, M. A., Nasseri Mobaaraki, H., Ayatollahi, M. R., & Zomorrodian, Z. S. (2018). The Assessment of Daylight and Glare in Classrooms Using Dynamic Indicators; the Case of SBU Faculty of Architecture and Urban Planning. Soffeh, 28(4), 25-40.(In persian)

ـ Farrokhi, A., Farzin, S., & Mousavi, S. F. (2020). A new framework for evaluation of rainfall temporal variability through principal component analysis, hybrid adaptive neuro-fuzzy inference system, and innovative trend analysis methodology. Water Resources Management, 34(10), 3363-3385.    

• Farhangi Khanghah, A., Gorji Mahlabani, Y., Mofidi Shemirani, S. M., & Medi, H. (2021). The Design Pattern of Optimal Combined Envelope in Generating Solar Electricity Using Genetic Algorithm in Iran's Cold Climate. Journal of Iranian Architecture & Urbanism(JIAU), 12(2), 83-101. (In persian)

-Goharian, A., Mahdavinejad, M., Bemanian, M., & Daneshjoo, K. (2022, June). Designerly optimization of devices (as reflectors) to improve daylight and scrutiny of the light-well’s configuration. In Building Simulation (Vol. 15, No. 6, pp. 933-956). Tsinghua University Press.

   -Hafezi,MR., Zomorodian,Z.,& Tahsildoost,M.(2017). Energy Efficient Design of Double Skin Facade,    Case Study: an Office Building in Tehran. Journal of Iranian Architecture Studies, 5(10), 101-122. (In persian)

ـ Hosseini, S. N., Hosseini, S. M., & Heiranipour, M. (2020). The role of Orosi’s Islamic geometric patterns in the building facade design for improving occupants’ daylight performance. Journal of Daylighting, 7(2), 201-221.

ـ Jalali, Z., Noorzai, E., & Heidari,S. (2020).  Design and optimization of form and façade of an office building using the genetic algorithm. Science and Technology for the Built Environment, 26(2), 128-140.

ـ Kazemzadeh, M., & Tahbaz, M. (2013). Measurement and analyzing daylight condition in traditional Kerman houses (Aminian house). Honar-Ha-Ye-Ziba: Memary Va Shahrsazi, 18(2), 17-26.

ـ Kirimtat, A., Koyunbaba, B.K., Chatzikonstantinou, I., & Sariyildiz, S. (2016). Review of simulation modeling for shading devices in buildings. Renewable and Sustainable Energy Reviews, 53, 23-49.

-LEED v4.1(2020). BUILDING DESIGN AND CONSTRUCTION Getting started guide for beta participants.

ـ Mardaljevic, J., Heschong, L., & Lee, E. (2009). Daylight metrics and energy savings. Lighting Research & Technology, 41(3), 261-283.

-Miri, M., & Kompani Saeed, M. (2015). A New Method for Achieving Daylight in Working Spaces by Finding the Efficient Type and Size of Windows, Shading Systems and Depth of Rooms. Armanshahr Architecture & Urban Development, 8(2),73-89.(In persian)

ـ Montaser Koohsari, A., Fayaz, R., & Kari, B.M. (2016). Integrating Thermal and Lighting Analysis to Optimize Window Size of Educational buildings.

-Mahmoud, A. H. A., & Elghazi, Y. (2016). Parametric-based designs for kinetic facades to optimize daylight performance: Comparing rotation and translation kinetic motion for hexagonal facade patterns. Solar Energy, 126, 111-127.

ـ Mahdavinejad, M., & Nazar, N.S. (2017). daylightophil high-performance architecture: Multi-objective optimization of energy efficiency and daylight availability in BSk climate. Energy Procedia, 115, 92-101.

-Mahdavinejad, M., & Kia, A. (2019). Contemporization of traditional facade skins (lattice) in Iranian architecture for optimization of daylight and energy. Case study: Tehran office buildings. Journal of Architecture in Hot and Dry Climate, 7(9), 69-82. (In persian)

ـ Motazedian, F.(2019). Analysisof Optimum Window-to-Wall Ratio in Horizontally Expanded and Vertically Expanded Windows in Tehran, Iran. Int. J. Architect. Eng. Urban Plan, 29(1), 61-68.

-Marufi, N., Mahdavinejad, M., & Moradinasab, H. (2020). Impacts of Window Form on Natural Light in Classroom in BWk Climate. Journal of Climate Research, 1399(43), 127-142.

-Montaser Koohsari,A.(2020).Window design considering occupants' behaviour (Case study: An office building in Tehran), The Degree of PHD, Department of Architecture, University of Tehran. (In persian)

-Mohaghegh,H., Fallah Zavareh, Z., Tarkashvand ,A.,&  Faizi, M.(2021). Application of Islamic Geometric Patterns in Improving the Performance of Daylighting in Kinetic Facades, Journal of Researches in Islamic Architecture Iran University of Science & Technology, 9 (3) :171-191. (In persian)

-National building regulations, 13th topic. (2012). Design and implementation of electrical installations of buildings, Iran Development Publication, 103. (In persian)

-National building regulations, 19th topic (2019). Energy saving, Iran Development Publication. (In persian)

-PoorJafari,N.,&Dasme,A.(2015).Multi-objective optimization in process engineering by genetic    algorithm. The second scientific conference of process engineering,Tehran,13.(In persian)

ـ Pilechiha, P., Mahdavinejad, M., Rahimian, F.P., Carnemolla, P., & Seyedzadeh, S. (2020). Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency. Applied Energy, 261, 114356.

-Razmi,A.(2020). Integrated Design Based on Multi-Objective Optimization of Energy and     Daylight Performance in Public Buildings (Dormitory Design), Thesis Master, Department of Architecture, Faculty of Art & Architecture Tarbiat Modares University. (In persian)

-RayBad,A.(2020). Simulations and its applications, familiarization with basic concepts, Faradars magazine. (In persian)

ـ Reinhart, C., Breton, PF. (2009). Experimental validation of Autodesk 3d Max Design 2009 and Daysim 3.0. Leukos, 6, 7–35.

ـShi, X., Z .Tian, W. Chen , B. Si, X. Jin. (2016).A review on building energy efficient design.

    optimization rom the perspective of architects. Renewable and Sustainable Energy Reviews : 872-84.

-Shafghi-Moghadam,N., Tahsildoost,M., &Zomardian,Z.(2018). nvestigating the effectiveness of daylight indicators in evaluating the quality of users' visual comfort (case study: educational spaces of architecture schools in Tehran). Iranian Architectural Studies, 16(8), 205-228. (In persian)

ـ Zomorodian, ZS., F. Nasrollahi. (2013). Architectural design optimization of school buildings for reduction of energy demand in hot and dry climates of Iran. Int J Archit Eng Urban Plan : 41-50.

-Zhang, A., Bokel, R., van den Dobbelsteen, A., Sun, Y., Huang, Q., & Zhang, Q. (2017). Optimization of thermal and daylight performance of school buildings based on a multi-objective genetic algorithm in the cold climate of China. Energy and Buildings, 139, 371-384.

-Vahabi,V.,& Mahdavinia,M.(2018).The Effect of Physical Features of Window Protective Covers on Thermal Performance of Tehran’s Residential Buildings, Publication Architecture and urban planning of Iran,9(15),75-90. (In persian)

-Valitabar, M., Mahdavinejad, M., & Henry Skates, P. P. (2021). Data-Driven Design of Adaptive Façades: View, Glare, Daylighting and Energy Efficiency.