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Nonlinear Engineering
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Nonlinear Engineering
Article . 2022
Data sources: DOAJ
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Multi-objective optimization design of steel structure building energy consumption simulation based on genetic algorithm

Authors: Ren Yuan; Rubaiee Saeed; Ahmed Anas; Othman Asem Majed; Arora Sandeep Kumar;

Multi-objective optimization design of steel structure building energy consumption simulation based on genetic algorithm

Abstract

Abstract In order to solve the problems of data acquisition, quantitative analysis and model solving in the field of construction schedule optimization, a construction schedule optimization system based on genetic algorithm was constructed. On this basis, the construction schedule two-stage multi-objective optimization models of “duration-cost” and “fixed duration-resource equilibrium” are established, which aim at the lowest cost and resource equilibrium. Through the investigation and analysis of the project contract documents, the energy consumption and cost of the normal construction and emergency construction state of the contract plan of the basic project part (from the beginning of precipitation activities to the end of +0) are obtained. This section was optimized for the analysis. The genetic algorithm is used to solve the model, and the optimal duration of each process and the optimal start time of non-critical process are determined. The feasibility and effectiveness of the system and model are verified by practical application in the actual project, which provides support for determining the construction schedule scientifically and reasonably and helps to improve the construction schedule technical application effect and construction schedule management level.

Related Organizations
Keywords

integrated optimization, genetic algorithm, building energy consumption, steel structure, TA1-2040, Engineering (General). Civil engineering (General)

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
gold