计算机工程与科学2018，Vol.40Issue(4)：626-635,10.DOI:10.3969/j.issn.1007-130X.2018.04.008
野草猴群算法的传感器优化布置方法研究
A weed monkey algorithm for optimal sensor placement
摘要
Abstract
The simple monkey algorithm has the shortcomings of initial distribution randomization,fixed climb step length and incapability of inheriting the characteristics of excellent monkeys,which limits the solution performance of the algorithm.In order to solve the above problems,a weed monkey algorithm for optimal sensor placement is proposed.Normal distribution is used to enhance the diversity of initial monkey populations.Self-adaptive climb step is introduced to improve the solution accuracy and convergence rate.Both weed reproduction evolution and competitive exclusion mechanism are used to enlarge the influence of excellent monkey on the monkey offspring population.The commonly used Modal Assurance Criterion (MAC) is used as the objective function of optimal sensor placement.The commonly used 8 test functions and 3 algorithms are used to verify the feasibility and effectiveness of the algorithm.Finally,the optimal sensor placement is carried out on the gelatinize mechanism of bag bottompasting machine.The results show that,compared with the simple monkey algorithm,the solution accuracy of the weed monkey algorithm precision is greatly improved.关键词
传感器优化布置/野草猴群算法/正态分布/爬步长/繁殖进化/竞争生存Key words
optimal sensor placement/weed monkey algorithm/normal distribution/climbing step/reproduction evolutionary/competitive survival分类
信息技术与安全科学引用本文复制引用
殷红,杜国璋,彭珍瑞,马丽..野草猴群算法的传感器优化布置方法研究[J].计算机工程与科学,2018,40(4):626-635,10.基金项目
国家自然科学基金(61463028) （61463028）
甘肃省自然科学基金(17JR5RA102) （17JR5RA102）
