Investigating the performance of genetic algorithm and particle swarm for optimizing daylighting and energy performance of offices in Alexandria, Egypt

PurposeThis study aims to compare the performance of two nature-inspired metaheuristics inside Grasshopper in optimizing daylighting and energy performance against brute force in terms of the resemblance to ideal solution and calculation time.Design/methodology/approachThe simulation-based optimizat...

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Veröffentlicht in:	Smart and Sustainable Built Environment 2023-04, Vol.12 (3), p.682-700
Hauptverfasser:	Allam, Amr S., Bassioni, Hesham, Ayoub, Mohammed, Kamel, Wael
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Architecture Buildings Calculus Configurations Context Daylighting Design Design optimization Designers Energy consumption Genetic algorithms Heuristic methods Investigations Laboratories Optimization algorithms Optimization techniques Particle swarm optimization Simulation Variables
Online-Zugang:	Volltext
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