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April 19, 2026International Journal of Global Energy Issues0 citationsOpen Access

Enhancing design efficiency of intelligent garden space allocation: an adaptive layout algorithm by multi-objective ant colony optimisation

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BCBo ChenJMJun Ma

Key Points

  • The aim is to improve the efficiency of designing intelligent garden spaces using an adaptive layout algorithm.
  • Developed a multi-objective ant colony optimisation algorithm.
  • Applied the algorithm to garden space allocation.
  • Evaluated design efficiency through performance metrics.
  • Enhanced layout efficiency in garden space allocation.
  • Improved adaptability of design based on multiple objectives.
  • Demonstrated potential for sustainable garden development.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69e4734c010ef96374d8f290https://doi.org/10.1504/ijgei.2026.10077764
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