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Decentralized Microenvironment-Based Particle Swarm Optimization Algorithm for Insect-Intelligent Building Platform

Guardado en:
Udgivet i:Buildings vol. 15, no. 11 (2025), p. 1778
Hovedforfatter: Zhang, Zhenya
Andre forfattere: Xu, Shaojie, Wang, Ping, Cheng, Hongmei, Zhang, Shuguang
Udgivet:
MDPI AG
Fag:
Particle swarm optimization
Control tasks
Data processing
Collaboration
Artificial intelligence
Algorithms
Building automation
Smart buildings
Information processing
Microenvironments
Insects
Optimization algorithms
Distributed processing
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Resumen:Information processing and control tasks in each unit within a building are typically completed internally, and information processing within a building naturally exhibits distributed characteristics. The insect-intelligent building platform is an intelligent building platform, and the concept of an insect-intelligent building platform adapts to the distributed processing requirements of building information, achieving features such as self-organization and self-adaptation of the intelligent building platform. The microenvironment network serves as a fundamental network that supports the implementation of an insect-intelligent building platform. Update mechanisms for the velocity and position of particles for PSO in the microenvironment are given. This paper also proposes a Microenvironment-based Particle Swarm Optimization (MPSO) algorithm with those update mechanisms to quickly solve optimization problems using PSO under a microenvironment network. Experimental results show that, within microenvironment networks, both synchronous and asynchronous implementations of MPSO algorithms can solve optimization problems faster than the PSO algorithm while maintaining a precision similar to that of the PSO algorithm.
ISSN:2075-5309
DOI:10.3390/buildings15111778
Fuente:Engineering Database