基于PHPSO-IA的城市环境噪声测点优化  

Research on Optimization Problem of Measurement Points of Urban Environmental Noise Based on PHPSO-IA

作　　者：赵凤强[1,2] 李广强[1,3] 胡红英[2] 张汝波[2] 张艳[2] 

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026 [2]大连民族学院机电信息工程学院,辽宁大连116605 [3]马萨诸塞大学洛厄尔分校计算机科学系,马萨诸塞州洛厄尔01854

出　　处：《大连民族学院学报》2015年第1期45-49,共5页Journal of Dalian Nationalities University

基　　金：国家自然基金(51079013;61074053;61173035);中央高校基本科研业务费专项资金资助项目(DMU2011NQ030;DC120101014;DC11-0320);国家留学基金委项目资助(201306575010)

摘　　要：针对传统的城市噪声等网格测量布点时缺乏考虑声场变化不均匀的实际情况,参考有限元法划分网格的策略,给出了变网格测量布点的思想,并在此基础上,将提出的并行混合粒子群免疫算法(Parallel hybrid PSO immune algorithm,PHPSO-IA)用于求解城市环境区域噪声测量布点优化问题,取得了良好的效果,可大大减少日后布点测量时的人力物力消耗,为实现城市环境噪声实时自动监测和评价提供了便利。In view of lack of consideration for non -uniform distribution of real acoustic field when locating measurement points by traditional noise measuring method with equal grids, the i-dea of locating points by the method with unequal grids are given in this paper based on the strategy of element partition in finite element analysis （FEA）. Moreover, on the basis of it, Parallel hybrid PSO immune algorithm （ PHPSO-IA） is adopted to solve the optimization prob-lems of measurement points in the field of urban environmental noise. The results are satisfacto-ry. It can greatly reduce the consumption of manpower and material resources during the course of measuring noise in future and open a gate for realizing automatic monitoring and evaluation of urban environmental noise.

关 键 词：城市环境噪声 测点优化 免疫遗传算法 粒子群优化 

分 类 号：TB533[理学—物理] TP301.6[理学—声学]