Performance assessment of RBFMOpt, NSGA2, and MHACO on the thermal and energy optimization of an office building
Author:
Affiliation:
1. Laboratory of Technologies in Environmental Comfort and Energy Efficiency, Federal University of Viçosa, Viçosa, Brazil
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
CAPES
Fundação de Amparo à Pesquisa do Estado de Minas Gerais
FAPEMIG
Publisher
Informa UK Limited
Subject
Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture
Link
https://www.tandfonline.com/doi/pdf/10.1080/19401493.2022.2143568
Reference43 articles.
1. MHACO: a Multi-Objective Hypervolume-Based Ant Colony Optimizer for Space Trajectory Optimization
2. ASHRAE. 2013. Appendix G 2013: Performance Rating Method.” In Energy Standard for Buildings Except Low-Rise Residential Buildings. ASHRAE.
3. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
4. A parallel global multiobjective framework for optimization: pagmo
5. Pymoo: Multi-Objective Optimization in Python
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