文章摘要
张振亚,骆丽春,王越,彭浩,王萍,程红梅.一种基于CPN网络的分布式粒子群优化算法[J].安徽建筑大学学报,2021,29():
一种基于CPN网络的分布式粒子群优化算法
An Approach to CPN Network Based Distributed Particle Swarm Optimization Algorithm
投稿时间:2021-06-16  修订日期:2021-08-10
DOI:10.11921/j.issn.2095-8382.20210618001
中文关键词: 粒子群优化算法,CPN网络,分布式系统,群智能建筑平台
英文关键词: Particle Swarm Optimization  CPN Network  Distributed System  insect intelligent building platform system
基金项目:安徽省高校自然科学研究重点项目、国家重点研发计划项目、安徽建筑大学科研发展基金
作者单位E-mail
张振亚* 安徽建筑大学电子与信息工程学院 zyzhang@ahjzu.edu.cn 
骆丽春 安徽建筑大学电子与信息工程学院  
王越 安徽建筑大学电子与信息工程学院  
彭浩 安徽建筑大学电子与信息工程学院  
王萍 安徽建筑大学电子与信息工程学院  
程红梅 安徽建筑大学经济与管理学院  
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中文摘要:
      CPN网络是群智能建筑平台系统的基础网络。CPN网络中,每个CPN节点只能和它邻接的CPN节点交换数据,而CPN节点之间连接与否依赖于其代表的空间区域是否相邻或代表的建筑设备单元是否物理连接。以CPN网络数据交换方式为约束,本文提出了基于CPN网络的粒子群优化算法分布式实现的数据交换策略和粒子位置更新策略,设计并实现了运行于CPN节点中、全部CPN网络上的分布式粒子群优化算法。实验表明,基于所提出数据交换策略和粒子位置更新策略实现的分布式粒子群优化算法可以快速、有效的收敛。
英文摘要:
      CPN network is the fundamental network for our insect intelligent building platform system. In a CPN network, lots of node named as CPN (computing process node) are interconnected each other and a CPN can and only can exchange data with its adjacent CPN. And two CPN node are connected if the spatial area pair where those two CPN are in is adjacent or the building equipment unit pair which are represented by those two CPN is physically connected. With constrains for data exchange in CPN network, one strategy for data exchange for CPN network based particle swarm optimization and one strategy for position updating for CPN network based particle in particle swarm optimization are proposed in this paper. And with those two strategies, distributed particle swarm optimization algorithm which is run in all CPN nodes in CPN network is designed and implemented. Experiments results show that the distributed particle swarm optimization based on our proposed data exchange strategy and position updating strategy for particle can fast converge to one optimal solution effectively.
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