Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343734
Yao Hu, Yun-fei Xu
Interference often appears between camera and object during imaging. In this paper, an image restoration method in video sequences based on cross-correlation is proposed. A submerged object with modulated light and interference is recorded by a high speed camera. The captured data and the modulated light are regarded as input signal and reference signal, respectively. A new pixel matrix is obtained and can be restored by filtering additive noise after executing a cross-correlation operation between the signals. Experimental results demonstrate that the method can eliminate interference and enhance image quality efficiently.
{"title":"An image restoration method based on cross-correlation","authors":"Yao Hu, Yun-fei Xu","doi":"10.1109/ICCSNT.2017.8343734","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343734","url":null,"abstract":"Interference often appears between camera and object during imaging. In this paper, an image restoration method in video sequences based on cross-correlation is proposed. A submerged object with modulated light and interference is recorded by a high speed camera. The captured data and the modulated light are regarded as input signal and reference signal, respectively. A new pixel matrix is obtained and can be restored by filtering additive noise after executing a cross-correlation operation between the signals. Experimental results demonstrate that the method can eliminate interference and enhance image quality efficiently.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129750587","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343697
Y. Li, Hongbo Wang, Yangyang Li
With the rapid development of the Internet and the explosive growth of information, the traditional technical frame-work can not meet the needs of massive data processing. In this environment, the research and development of big data platform came into being. Compared to Hadoop MapReduce programming model, the Spark computing framework has a better applicability by introducing RDD (Elastic Distributed Data Set) and memory-based computing model. SparkSQL is an api that integrates relational processing and Sparks functional programming. It provides a better choice for handing massive structured data. However, for the most complex and costly inter-table correlation queries in traditional query, Spark SQL's performance is poor. To some extent, it has affected the application of Spark. This paper first introduces the technical background of Spark architecture, Optimizer Catalyst, and then expounds the factors causing low query performance. Then, a design scheme of cost optimization and predicate pushdown is proposed based on Spark SQL. The proposed scheme is based on scalable Catalyst, which improves the performance degradation due to improper selection of table association algorithm and the triggering of shuffle. Finally, the Spark cluster test environment is built to verify the feasibility and performance improvement of the proposed scheme.
随着互联网的快速发展和信息的爆炸式增长，传统的技术框架已经不能满足海量数据处理的需求。在这种环境下，大数据平台的研发应运而生。与Hadoop MapReduce编程模型相比，Spark计算框架通过引入RDD (Elastic Distributed Data Set)和基于内存的计算模型，具有更好的适用性。SparkSQL是一个集成了关系处理和spark函数式编程的api。它为处理大量结构化数据提供了更好的选择。然而，对于传统查询中最复杂、最昂贵的表间关联查询，Spark SQL的性能很差。在一定程度上影响了Spark的应用。本文首先介绍了Spark架构、Optimizer Catalyst的技术背景，然后阐述了导致查询性能低下的因素。然后，提出了一种基于Spark SQL的成本优化和谓词下推的设计方案。该方案基于可扩展的Catalyst，改善了由于表关联算法选择不当和shuffle触发导致的性能下降。最后，搭建了Spark集群测试环境，验证了该方案的可行性和性能提升。
{"title":"Research on query analysis and optimization based on spark","authors":"Y. Li, Hongbo Wang, Yangyang Li","doi":"10.1109/ICCSNT.2017.8343697","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343697","url":null,"abstract":"With the rapid development of the Internet and the explosive growth of information, the traditional technical frame-work can not meet the needs of massive data processing. In this environment, the research and development of big data platform came into being. Compared to Hadoop MapReduce programming model, the Spark computing framework has a better applicability by introducing RDD (Elastic Distributed Data Set) and memory-based computing model. SparkSQL is an api that integrates relational processing and Sparks functional programming. It provides a better choice for handing massive structured data. However, for the most complex and costly inter-table correlation queries in traditional query, Spark SQL's performance is poor. To some extent, it has affected the application of Spark. This paper first introduces the technical background of Spark architecture, Optimizer Catalyst, and then expounds the factors causing low query performance. Then, a design scheme of cost optimization and predicate pushdown is proposed based on Spark SQL. The proposed scheme is based on scalable Catalyst, which improves the performance degradation due to improper selection of table association algorithm and the triggering of shuffle. Finally, the Spark cluster test environment is built to verify the feasibility and performance improvement of the proposed scheme.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128506001","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343700
Jie Chen, Youqun Shi, Xin Luo, Ran Tao, Yifan Gu
Because of the uneven quality of online reviews, the accuracy of product feature extraction from Chinese reviews is not satisfied. For this reason, we propose a method based on the traditional FP-Growth algorithm and Word2Vec model to extract product features from online Chinese reviews in the clothing field. This paper has two contributions. One is to add semantic similarity calculation to avoid low-frequency feature words being deleted in the first step of FP-Growth algorithm. The other is to construct semantic rules to extract latent product features, which makes up the deficiency of the traditional association rule algorithm. An experiment is run for the data set of Chinese reviews on clothing products, which shows that the proposed method can improve the accuracy rate without affecting the recall rate.
{"title":"Extracting product features from online Chinese reviews","authors":"Jie Chen, Youqun Shi, Xin Luo, Ran Tao, Yifan Gu","doi":"10.1109/ICCSNT.2017.8343700","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343700","url":null,"abstract":"Because of the uneven quality of online reviews, the accuracy of product feature extraction from Chinese reviews is not satisfied. For this reason, we propose a method based on the traditional FP-Growth algorithm and Word2Vec model to extract product features from online Chinese reviews in the clothing field. This paper has two contributions. One is to add semantic similarity calculation to avoid low-frequency feature words being deleted in the first step of FP-Growth algorithm. The other is to construct semantic rules to extract latent product features, which makes up the deficiency of the traditional association rule algorithm. An experiment is run for the data set of Chinese reviews on clothing products, which shows that the proposed method can improve the accuracy rate without affecting the recall rate.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526122","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343663
Wenquan Jin, Dohyeun Kim
Internet of Things (IoT) requires seamless integration of heterogeneous devices and applications. Various communication technologies, protocols, data format and network solutions are used for connectivity of things in IoT. Interoperability is the most essential feature desired in data format and communication protocols to support IoT vision of connected world. However, due to the heterogeneity of elements in the IoT, management of IoT devices and others would be complex. Moreover, the data format and communication protocols are also important in the data transmission between devices and applications. This paper proposes an integrated IoT system to facilitate management of diverse resources in IoT environment. Proposed architecture is comprised of the IoT service provider, the interworking proxy and the IoT device.
{"title":"IoT device management architecture based on proxy","authors":"Wenquan Jin, Dohyeun Kim","doi":"10.1109/ICCSNT.2017.8343663","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343663","url":null,"abstract":"Internet of Things (IoT) requires seamless integration of heterogeneous devices and applications. Various communication technologies, protocols, data format and network solutions are used for connectivity of things in IoT. Interoperability is the most essential feature desired in data format and communication protocols to support IoT vision of connected world. However, due to the heterogeneity of elements in the IoT, management of IoT devices and others would be complex. Moreover, the data format and communication protocols are also important in the data transmission between devices and applications. This paper proposes an integrated IoT system to facilitate management of diverse resources in IoT environment. Proposed architecture is comprised of the IoT service provider, the interworking proxy and the IoT device.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129981764","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343743
Shuai Qi, D. Guo, Bangning Zhang, K. Guo
With cosine signal as carrier, the traditional Frequency shift keying (FSK) method achieves fast non-coherent demodulation by FFT. But as carrier, the cosine signal has the shortcomings of non-time-varying the signal, fixed frequency, anti-interference and poor security performance. Aiming at these problems, this paper presents a novel modulation and demodulation method, which achieves the fast incoherent demodulation with the linear frequency modulation (LFM) signal as carrier and Fractional Fourier Transform (FRFT). With LFM signal as carrier, that FRFT can be used to achieve rapid demodulation, has been shown in Theoretical analysis and simulation results. In addition, the LFM signal has good performance of anti-interference and confidentiality, compared with the traditional cosine signal as carrier, because it is a time-varying signal, whose time domain and the frequency domain are both changing.
{"title":"LFM and FRFT to a novel FSK method","authors":"Shuai Qi, D. Guo, Bangning Zhang, K. Guo","doi":"10.1109/ICCSNT.2017.8343743","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343743","url":null,"abstract":"With cosine signal as carrier, the traditional Frequency shift keying (FSK) method achieves fast non-coherent demodulation by FFT. But as carrier, the cosine signal has the shortcomings of non-time-varying the signal, fixed frequency, anti-interference and poor security performance. Aiming at these problems, this paper presents a novel modulation and demodulation method, which achieves the fast incoherent demodulation with the linear frequency modulation (LFM) signal as carrier and Fractional Fourier Transform (FRFT). With LFM signal as carrier, that FRFT can be used to achieve rapid demodulation, has been shown in Theoretical analysis and simulation results. In addition, the LFM signal has good performance of anti-interference and confidentiality, compared with the traditional cosine signal as carrier, because it is a time-varying signal, whose time domain and the frequency domain are both changing.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125654351","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343710
Keyi Xie, Y. Xue
In this paper, a 12 bits chipless tag is designed on a 42mm∗20.5mm∗0.5mm Arlon AD255A substrate. The tag is based on 12 ‘I-shaped’ slot resonators. By removing or adding some slots, different codes are obtained. HFSS software is used in structure design and simulation. In order to reduce the mutual coupling between different resonators and have the compact size, the distance between two adjacent ‘I-shaped’ slots is designed to be 1mm, and the width of ‘I-shaped’ slot is 0.5mm. Low profile Ultra-Wide Band (UWB) Co-planar Waveguide (CPW) antennas are used in experiment instead of using expensive horn antennas. From simulation and experimental results, the chipless tag proposed in this paper is feasible and it has great potential in the field of Internet of things.
{"title":"A 12 bits chipless RFID tag based on ‘I-shaped’ slot resonators","authors":"Keyi Xie, Y. Xue","doi":"10.1109/ICCSNT.2017.8343710","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343710","url":null,"abstract":"In this paper, a 12 bits chipless tag is designed on a 42mm∗20.5mm∗0.5mm Arlon AD255A substrate. The tag is based on 12 ‘I-shaped’ slot resonators. By removing or adding some slots, different codes are obtained. HFSS software is used in structure design and simulation. In order to reduce the mutual coupling between different resonators and have the compact size, the distance between two adjacent ‘I-shaped’ slots is designed to be 1mm, and the width of ‘I-shaped’ slot is 0.5mm. Low profile Ultra-Wide Band (UWB) Co-planar Waveguide (CPW) antennas are used in experiment instead of using expensive horn antennas. From simulation and experimental results, the chipless tag proposed in this paper is feasible and it has great potential in the field of Internet of things.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126828073","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343468
Jiao Liu, Rong-yi Cui, Yahui Zhao
In this paper, an approach to calculating the similarity among cross-lingual documents was researched for multilingual documents including Chinese, English, and Korean. Firstly, document was represented as a vector in the space of other language by co-occurrence projection. And then, taking advantage of the latent semantic analysis, the loss of vector caused by polysemy between different languages was remedied. Finally, the cross-lingual cosine similarity of documents was calculated in the same language space possessing equivalent semantic information. External dictionary and knowledge base were sidestepped by using the translation corpus to establish the lexical correspondence among Chinese, English, and Korean. The results show that co-occurrence projection has a great effect in calculating cross-lingual documents similarity, moreover, the retrieval accuracy of translation can be reached 95%, which verifies the effectiveness of the proposed method.
{"title":"Cross-lingual similar documents retrieval based on co-occurrence projection","authors":"Jiao Liu, Rong-yi Cui, Yahui Zhao","doi":"10.1109/ICCSNT.2017.8343468","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343468","url":null,"abstract":"In this paper, an approach to calculating the similarity among cross-lingual documents was researched for multilingual documents including Chinese, English, and Korean. Firstly, document was represented as a vector in the space of other language by co-occurrence projection. And then, taking advantage of the latent semantic analysis, the loss of vector caused by polysemy between different languages was remedied. Finally, the cross-lingual cosine similarity of documents was calculated in the same language space possessing equivalent semantic information. External dictionary and knowledge base were sidestepped by using the translation corpus to establish the lexical correspondence among Chinese, English, and Korean. The results show that co-occurrence projection has a great effect in calculating cross-lingual documents similarity, moreover, the retrieval accuracy of translation can be reached 95%, which verifies the effectiveness of the proposed method.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116558697","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343701
Liang Xu, Duan Jiawei, Huang Ming
Flexible job shop scheduling is an NP-hard problem. In this paper, we design a novel hybrid cloud particle swarm optimization (HCPSO) algorithm with genetic algorithm (GA) that is adopted to provide optimal solutions according to the pareto optimality principle in solving multi-objective FJSS problem. It is aimed at minimizing completion time of jobs, total workload and maximum workload. The novelty of the new proposed approach is that the whole particles are divided into three different populations respectively with different weights according to the fitness value. The weight has stable tendency and randomness properties based on the cloud model, which not only improves the convergence speed, but also maintains the diversity of the population. The simulation results show that the HCPSO algorithm has the advantages of small optimization, fast convergence, high efficiency and good population diversity, which verifies the effectiveness and the feasibility of HCPSO algorithm. The results of the instance verify that HCPSO algorithm is suitable for multi-objective optimization problems.
{"title":"Research on hybrid cloud particle swarm optimization for multi-objective flexible job shop scheduling problem","authors":"Liang Xu, Duan Jiawei, Huang Ming","doi":"10.1109/ICCSNT.2017.8343701","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343701","url":null,"abstract":"Flexible job shop scheduling is an NP-hard problem. In this paper, we design a novel hybrid cloud particle swarm optimization (HCPSO) algorithm with genetic algorithm (GA) that is adopted to provide optimal solutions according to the pareto optimality principle in solving multi-objective FJSS problem. It is aimed at minimizing completion time of jobs, total workload and maximum workload. The novelty of the new proposed approach is that the whole particles are divided into three different populations respectively with different weights according to the fitness value. The weight has stable tendency and randomness properties based on the cloud model, which not only improves the convergence speed, but also maintains the diversity of the population. The simulation results show that the HCPSO algorithm has the advantages of small optimization, fast convergence, high efficiency and good population diversity, which verifies the effectiveness and the feasibility of HCPSO algorithm. The results of the instance verify that HCPSO algorithm is suitable for multi-objective optimization problems.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133289036","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343467
Gang Hu, Ling Luo, Ru Li, Chen Yang
A new geometric model of quartic generalized Ball surfaces with multiple shape parameters is constructed using a class of quartic generalized Ball basis functions. The proposed quartic generalized Ball surfaces not only inherit the outstanding properties of the Ball Surfaces, but also have a good performance on adjusting their shapes by changing shape control parameters. To tackle the problem that the engineering complex surfaces can not be constructed by using a single surface, the continuity conditions of quartic generalized Ball surfaces with shape parameter are investigated. Based on the analysis of the basis functions, the conditions of G1 continuity between two adjacent quartic generalized Ball surfaces are proposed. In addition, some applications in quartic generalized Ball surfaces design are discussed. The modeling examples show that the proposed method is effective and easy to implement, which greatly enhances the ability to constructing complex surface by using quartic generalized Ball surfaces.
{"title":"Quartic generalized ball surfaces with shape parameters and its continuity conditions","authors":"Gang Hu, Ling Luo, Ru Li, Chen Yang","doi":"10.1109/ICCSNT.2017.8343467","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343467","url":null,"abstract":"A new geometric model of quartic generalized Ball surfaces with multiple shape parameters is constructed using a class of quartic generalized Ball basis functions. The proposed quartic generalized Ball surfaces not only inherit the outstanding properties of the Ball Surfaces, but also have a good performance on adjusting their shapes by changing shape control parameters. To tackle the problem that the engineering complex surfaces can not be constructed by using a single surface, the continuity conditions of quartic generalized Ball surfaces with shape parameter are investigated. Based on the analysis of the basis functions, the conditions of G1 continuity between two adjacent quartic generalized Ball surfaces are proposed. In addition, some applications in quartic generalized Ball surfaces design are discussed. The modeling examples show that the proposed method is effective and easy to implement, which greatly enhances the ability to constructing complex surface by using quartic generalized Ball surfaces.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131990754","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 : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343471
Jiao Xuan, Huang Ming
Compared to other intelligent optimization algorithms, Quantum Particle Swarm Optimization (QPSO) possesses the characteristics like rapid convergence rate and outstanding global optimization performance etc. It is more applicable to solve workshop scheduling problems. The article proposes the strategy of improved dynamic reglation of rotation angle to solve multi-objective FJSP problems on the basis of Quantum Particle Swarm Optimization. The method can ensure the position with large variation of adaptive value not over optimal regulation measure, increase the capability to search optimal solution at the position with small variation of adaptive value, and verify the effectiveness of new algorithm through simulation experiement.
{"title":"An improved Quantum Particle Swarm Optimization and its application","authors":"Jiao Xuan, Huang Ming","doi":"10.1109/ICCSNT.2017.8343471","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343471","url":null,"abstract":"Compared to other intelligent optimization algorithms, Quantum Particle Swarm Optimization (QPSO) possesses the characteristics like rapid convergence rate and outstanding global optimization performance etc. It is more applicable to solve workshop scheduling problems. The article proposes the strategy of improved dynamic reglation of rotation angle to solve multi-objective FJSP problems on the basis of Quantum Particle Swarm Optimization. The method can ensure the position with large variation of adaptive value not over optimal regulation measure, increase the capability to search optimal solution at the position with small variation of adaptive value, and verify the effectiveness of new algorithm through simulation experiement.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"35 33","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113984309","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：