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

• Published in: Buildings (Basel) Vol. 15; no. 11; p. 1778
• Main Authors: Zhang, Zhenya, Xu, Shaojie, Wang, Ping, Cheng, Hongmei, Zhang, Shuguang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2025
• Subjects: Algorithms; Artificial intelligence; Building automation; building information process unit; Collaboration; Control tasks; Data processing; Distributed processing; Information processing; insect-intelligent building platform; Insects; Mathematical optimization; microenvironment; Microenvironments; Optimization algorithms; Particle swarm optimization; PSO; Smart buildings
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings15111778

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.