The convergence analysis of the standard particle swarm optimization (PSO) has shown that the changing of random functions, personal best and group best has the potential to improve the performance of the PSO. In this paper, a novel strategy with variable random functions and polynomial mutation is introduced into the PSO, which is called particle swarm optimization algorithm with variable random functions and mutation (PSO-RM). Random functions are adjusted with the density of the population so as to manipulate the weight of cognition part and social part. Mutation is executed on both personal best particle and group best particle to explore new areas. Experiment results have demonstrated the effectiveness of the strategy.
{"title":"A Particle Swarm Optimization Algorithm with Variable Random Functions and Mutation","authors":"Xiao-Jun ZHOU , Chun-Hua YANG , Wei-Hua GUI , Tian-Xue DONG","doi":"10.1016/S1874-1029(14)60015-X","DOIUrl":"10.1016/S1874-1029(14)60015-X","url":null,"abstract":"<div><p>The convergence analysis of the standard particle swarm optimization (PSO) has shown that the changing of random functions, personal best and group best has the potential to improve the performance of the PSO. In this paper, a novel strategy with variable random functions and polynomial mutation is introduced into the PSO, which is called particle swarm optimization algorithm with variable random functions and mutation (PSO-RM). Random functions are adjusted with the density of the population so as to manipulate the weight of cognition part and social part. Mutation is executed on both personal best particle and group best particle to explore new areas. Experiment results have demonstrated the effectiveness of the strategy.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"40 7","pages":"Pages 1339-1347"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(14)60015-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56927848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01295
Jian-Wen Tao, Shi-tong Wang
In allusion to domain adaptation learning (DAL) problems, this paper proposes a novel so-called kernel distribution consistency based local domain adaptation classifier (KDC-LDAC). Firstly, in some universally reproduced kernel Hilbert space (URKHS), the KDC-LDAC trains a kernel distribution consistency regularized domain adaptation support vector machine (SVM) based on the structure risk minimization model, which extends the formulation of classical SVMs to the domain adaptation learning schema. And secondly, according to the idea of local learning, the proposed method predicts the label of each data point in target domain based on its neighbors and their labels in the URKHS. The last but not least, the KDC-LDACs learning a discriminant function to classify the unseen data in target domain with training data well predicted in the local learning procedure. Experimental results on artificial and real world problems show the advantages or comparable effectiveness of the proposed approach compared to related approaches.
{"title":"Kernel Distribution Consistency Based Local Domain Adaptation Learning: Kernel Distribution Consistency Based Local Domain Adaptation Learning","authors":"Jian-Wen Tao, Shi-tong Wang","doi":"10.3724/SP.J.1004.2013.01295","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01295","url":null,"abstract":"In allusion to domain adaptation learning (DAL) problems, this paper proposes a novel so-called kernel distribution consistency based local domain adaptation classifier (KDC-LDAC). Firstly, in some universally reproduced kernel Hilbert space (URKHS), the KDC-LDAC trains a kernel distribution consistency regularized domain adaptation support vector machine (SVM) based on the structure risk minimization model, which extends the formulation of classical SVMs to the domain adaptation learning schema. And secondly, according to the idea of local learning, the proposed method predicts the label of each data point in target domain based on its neighbors and their labels in the URKHS. The last but not least, the KDC-LDACs learning a discriminant function to classify the unseen data in target domain with training data well predicted in the local learning procedure. Experimental results on artificial and real world problems show the advantages or comparable effectiveness of the proposed approach compared to related approaches.","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"39 1","pages":"1295-1309"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70160679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01289
Jian Gao, Jun Rao, Rui Sun
{"title":"An Image Lossless Compression Algorithm Based on 3-PVLC: An Image Lossless Compression Algorithm Based on 3-PVLC","authors":"Jian Gao, Jun Rao, Rui Sun","doi":"10.3724/SP.J.1004.2013.01289","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01289","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"39 1","pages":"1289-1294"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70160623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01360
Qiao Zhu, Jia-Rui Cui, G. Hu
{"title":"Mean-Square Exponential Input-to-State Stability of Numerical Solutions for Stochastic Control Systems: Mean-Square Exponential Input-to-State Stability of Numerical Solutions for Stochastic Control Systems","authors":"Qiao Zhu, Jia-Rui Cui, G. Hu","doi":"10.3724/SP.J.1004.2013.01360","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01360","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"11 1","pages":"1360-1365"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70160906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01339
Lun Wu, Yongtian Wang, Yue Liu
{"title":"A Robust Approach Based on Photometric Stereo for Surface Reconstruction: A Robust Approach Based on Photometric Stereo for Surface Reconstruction","authors":"Lun Wu, Yongtian Wang, Yue Liu","doi":"10.3724/SP.J.1004.2013.01339","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01339","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"39 1","pages":"1339-1348"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70160799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01310
Qiusheng Lian, Jun-Qin Zhang, Shuzhen Chen
{"title":"Single Image Super-resolution Algorithm Based on Two-stage and Multi-frequency-band Dictionaries: Single Image Super-resolution Algorithm Based on Two-stage and Multi-frequency-band Dictionaries","authors":"Qiusheng Lian, Jun-Qin Zhang, Shuzhen Chen","doi":"10.3724/SP.J.1004.2013.01310","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01310","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"39 1","pages":"1310-1320"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70160722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01366
T. Zou, Feng Wei, Xiaohang Zhang
{"title":"Strategy of Centralized Optimization and Decentralized Control for Two-layered Predictive Control in Large-scale Industrial Systems: Strategy of Centralized Optimization and Decentralized Control for Two-layered Predictive Control in Large-scale Industrial Systems","authors":"T. Zou, Feng Wei, Xiaohang Zhang","doi":"10.3724/SP.J.1004.2013.01366","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01366","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"39 1","pages":"1366-1373"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70161087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01330
Qingping Wei, Shuo Wang, Xiang Dong, Liuji Shang, Min Tan
{"title":"Design and Kinetic Analysis of a Biomimetic Underwater Vehicle with Two Undulating Long-fins: Design and Kinetic Analysis of a Biomimetic Underwater Vehicle with Two Undulating Long-fins","authors":"Qingping Wei, Shuo Wang, Xiang Dong, Liuji Shang, Min Tan","doi":"10.3724/SP.J.1004.2013.01330","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01330","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"39 1","pages":"1330-1338"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70160782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-06-24DOI: 10.3724/SP.J.1004.2013.01349
Chang-jian Ru, Ruixuan Wei, Jing Dai, D. Shen, Lu Zhang
{"title":"Autonomous Reconfiguration Control Method for UAV's Formation Based on Nash Bargain: Autonomous Reconfiguration Control Method for UAV's Formation Based on Nash Bargain","authors":"Chang-jian Ru, Ruixuan Wei, Jing Dai, D. Shen, Lu Zhang","doi":"10.3724/SP.J.1004.2013.01349","DOIUrl":"https://doi.org/10.3724/SP.J.1004.2013.01349","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":"39 1","pages":"1349-1359"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70160843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号