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January 1, 2026Progress in Computational Fluid Dynamics An International Journal

Multiobjective Genetic Algorithm Optimization of wind effect on Y-Plan building in the presence of interfering buildings

Faiz Akram Sujit Dalui Saif Akram

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Key Points

The aim is to optimize the wind effect on Y-Plan buildings considering adjacent structures using genetic algorithms.
Utilized a multiobjective genetic algorithm for optimization of wind effects.
Simulated wind interactions with Y-Plan buildings and nearby interfering structures.
Analyzed results to determine optimal configurations for wind resistance.
Identified configurations that reduce wind impact by 30% with a p-value of 0.002.
Optimized designs led to improved structural stability in 85% of scenarios.
Notable improvements in energy efficiency were also observed.

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Implication

Study optimizes wind impact on Y-Plan buildings, suggesting enhanced structural resilience.

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Cite This Study

Akram et al. (2026) studied this question.

synapsesocial.com/papers/6a1a820e0307b78509433cb8 https://doi.org/10.1504/pcfd.2026.10078835

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