Multi-objective optimization method for building energy-efficient design based on multi-agent-assisted NSGA-II

This study develops a novel multi-agent augmented NSGA-II architecture specifically designed to efficiently handle high-dimensional multi-objective optimization challenges in building energy-efficient design. In this paper, the share Q method is abandoned, and a novel crowding evaluation and compari...

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Bibliographic Details
Published in:Energy Informatics 2024-12, Vol.7 (1), p.90-17, Article 90
Main Author: Zhang, Zhiwei
Format: Article
Language:English
Subjects:
Algorithms
Building design
Building energy efficiency
Computer Science
Design
Design optimization
Energy conservation
Energy efficiency
Information Systems and Communication Service
Multi-agent assistance
Multi-objective optimization
Multiagent systems
Multiple objective analysis
NSGA-II
Optimization
Pareto optimization
Solution space
Sorting algorithms
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Summary:This study develops a novel multi-agent augmented NSGA-II architecture specifically designed to efficiently handle high-dimensional multi-objective optimization challenges in building energy-efficient design. In this paper, the share Q method is abandoned, and a novel crowding evaluation and comparison mechanism is adopted to ensure comprehensive coverage of the quasi-Pareto frontier while maintaining the diversity of the population. After integrating fast non-dominated sorting, the computational pressure of the algorithm can be effectively reduced. The integration of elite strategies further expands the solution space and prevents the omission of optimal solutions, thereby improving the operating efficiency and stability of the algorithm. After an in-depth analysis of 50 actual building examples, the results show that compared with the conventional NSGA-II method, our method optimizes the quality and diversity of Pareto solutions, with an average improvement of 12% and 15% respectively, while significantly shortening the calculation time, bringing an innovative and efficient optimization path to the energy-saving practice of building design.
ISSN:2520-8942
2520-8942
DOI:10.1186/s42162-024-00394-4