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Toplam kayıt 9, listelenen: 1-9
Multi-Objective skylight optimization for a healthcare facility foyer space
(2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, 2017)
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 ...
Multi-objective optimization through differential evolution for restaurant design
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
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 ...
A multi-objective self-adaptive differential evolution algorithm for conceptual high-rise building design
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
This paper presents a multi-objective self-adaptive differential evolution algorithm to solve the form-finding problem of high-rise building design in the conceptual phase. The aim of the research is to reach suitable ...
Multi-objective diagrid facąde optimization using differential evolution
(2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, 2015)
Facądes constitute one of the fundamental systems of contemporary buildings. They serve multiple purposes, such as to ensure proper indoor climate, to provide sufficient daylight, but also to create a desirable architectural ...
Addressing the high-rise form finding problem by evolutionary computation
(2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, 2015)
This paper aims to examine the application of evolutionary algorithms to the form finding problem of high-rise buildings. In the light of mentioned purpose, this study concentrates on the conceptual phase of the design ...
Time-cost optimization at the conceptual design stage using differential evolution
(2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, 2015)
Concurrent minimization of construction cost and duration is a challenging task for architects through conceptual design. Using differential evolution (DE), this study aims to obtain optimum design solutions that minimize ...
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 2: Optimisation problems, algorithms, results, and method validation
(Elsevier, 2021)
High-rise building optimisation is becoming increasingly relevant owing to global population growth and urbanisation trends. Previous studies have demonstrated the potential of high-rise optimisation but have been focused ...
Performative computational architecture using swarm and evolutionary optimisation: A review
(Building and Environment, 2019)
This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation. The taxonomy for one hundred types of studies is presented herein that includes ...
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine learning results
(Elsevier, 2021)
Designing high-rise buildings is one of the complex tasks of architecture because it involves interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable high-rise buildings has increased ...