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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 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 ...
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 ...
OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling
(MDPI, 2019)
Most of the architectural design problems are basically real-parameter optimization problems. So, any type of evolutionary and swarm algorithms can be used in this field. However, there is a little attention on using ...
Addressing the High-Rise Form Finding Problem by Evolutionary Computation
(IEEE, 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 ...
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 ...
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 ...
A Multi-Objective Self-Adaptive Differential Evolution Algorithm for Conceptual High-Rise Building Design
(IEEE, 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 Optimization Through Differential Evolution for Restaurant Design
(IEEE, 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 ...
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