Outdoor Public Space Layout Optimization Method for Primary and Secondary Schools Based on Environmental Simulation and Ant Colony Algorithm

Tailin Zhou, Luxi Liu, Xu Liu, Yanyi Chen, Yean Yang

2025

Abstract

The space layout optimization is critical in outdoor public spaces in primary and secondary schools, however it has an issue with erroneous performance positioning. The typical Genetic algorithm is unable to address the optimization and positioningl issue in outdoor public spaces in primary and secondary schools, and the result is insufficient. As a result, a Environmental simulation and Genetic algorithms-based research on the optimization method of outdoor public space layout in primary and secondary schools is provided, and research on the optimization method of outdoor public space layout in primary and secondary schools is assessed. To begin, the swarm behavior theory is used to discover the influencing elements, and the indicators are split based on the space layout optimization's needs to decrease interference factors in the space layout optimization. The swarm behavior theory is then used to create a Environmental simulation and Genetic algorithms space layout optimization scheme, and the outcomes of the space layout optimization are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Environmental simulation and Genetic algorithms outperforms the standard Genetic algorithm in terms of space layout optimization accuracy and time of influencing variables.

Paper Citation

in Harvard Style

Zhou T., Liu L., Liu X., Chen Y. and Yang Y. (2025). Outdoor Public Space Layout Optimization Method for Primary and Secondary Schools Based on Environmental Simulation and Ant Colony Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 103-108. DOI: 10.5220/0013536200004664

in Bibtex Style

@conference{incoft25,
author={Tailin Zhou and Luxi Liu and Xu Liu and Yanyi Chen and Yean Yang},
title={Outdoor Public Space Layout Optimization Method for Primary and Secondary Schools Based on Environmental Simulation and Ant Colony Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={103-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013536200004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Outdoor Public Space Layout Optimization Method for Primary and Secondary Schools Based on Environmental Simulation and Ant Colony Algorithm
SN - 978-989-758-763-4
AU - Zhou T.
AU - Liu L.
AU - Liu X.
AU - Chen Y.
AU - Yang Y.
PY - 2025
SP - 103
EP - 108
DO - 10.5220/0013536200004664
PB - SciTePress