Computational Intelligence and Intelligent Systems: 7th International Symposium, ISICA 2015, Guangzhou, China, November 21-22, 2015, Revised Selected Papers

746 Pages·2016·47.02 MB·English

by  Kangshun Li, Jin Li, Yong Liu, Aniello Castiglione (eds.)

Kangshun Li · Jin Li
Yong Liu · Aniello Castiglione (Eds.)
Communications in Computer and Information Science 575
Computational Intelligence
and Intelligent Systems
7th International Symposium, ISICA 2015
Guangzhou, China, November 21–22, 2015
Revised Selected Papers
123
Communications
in Computer and Information Science 575
Commenced Publication in 2007
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Pontifical Catholic University of Rio de Janeiro (PUC-Rio),
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La Trobe University, Melbourne, Australia
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Renmin University of China, Beijing, China
Joaquim Filipe
Polytechnic Institute of Setúbal, Setúbal, Portugal
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TÜBİTAK BİLGEM and Middle East Technical University, Ankara, Turkey
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St. Petersburg Institute for Informatics and Automation of the Russian
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Harbin Institute of Technology (HIT), Harbin, China
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Indian Institute of Technology Madras, Chennai, India
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Osaka University, Osaka, Japan
More information about this series athttp://www.springer.com/series/7899
Kangshun Li Jin Li
(cid:129)
Yong Liu Aniello Castiglione (Eds.)
(cid:129)
Computational Intelligence
and Intelligent Systems
7th International Symposium, ISICA 2015
–
Guangzhou, China, November 21 22, 2015
Revised Selected Papers
123
Editors
Kangshun Li Yong Liu
Collegeof Mathematics andInformatics Schoolof Computer Science and
TheSouth ChinaAgricultural University Engineering
Guangzhou TheUniversity of Aizu
China Aizu-Wakamatsu, Fukushima
Japan
Jin Li
Schoolof Computer Science Aniello Castiglione
GuangzhouUniversity Department ofInformatics
Guangzhou University of Salerno
China Fisciano
Italy
ISSN 1865-0929 ISSN 1865-0937 (electronic)
Communications in Computer andInformation Science
ISBN 978-981-10-0355-4 ISBN978-981-10-0356-1 (eBook)
DOI 10.1007/978-981-10-0356-1
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Preface
The present volume contains the proceedings of the 7th International Symposium on
Intelligence Computation and Applications (ISICA 2015) held in Guangzhou, China,
November 21–22, 2015. ISICA 2015 successfully attracted over 189 submissions.
Through rigorous reviews, 77 high-quality papers were selected for this volume of
Communications in Computer and Information Science (CCIS 575). ISICA confer-
ences are one of the first series of international conferences on computational intelli-
gence that combine elements of learning, adaptation, evolution, and fuzzy logic to
create programs as alternative solutions to artificial intelligence. The past ISICA pro-
ceedings including three volumes of CCIS and four volumes of LNCS have been
accepted in both the Index to Scientific and Technical Proceedings (ISTP) and Engi-
neering Information (EI).
Following the success of the past six ISICA events, ISICA 2015 persisted in
exploringnewproblemsemerginginthefieldsofcomputationalintelligence.Inrecent
years,anumberofintelligentdrivingsystemsfordriverlesscarshavebeendeveloped.
For example, at least ten of Google’s self-driving cars, including six Toyota Prius, an
Audi TT, and three Lexus RX450h, have undergone road safety testing. Such
impressive progress makes people think that current techniques have solved all issues
in the design of an intelligent driving system in the sense of overall human perfor-
mance.However,itissimplynotthecase.Therearestillmanyunsolvedproblems.For
example,Google’scarsarenotabletospotapoliceofficerwhoiswavingfortrafficto
stoponthesideofroad.Thecar’ssensorscannottellwhetheraroadobstacleisarock
or a crumpled piece of paper. It is expected that these unsolved problems in such
intelligent systems will become increasingly difficult. While it is difficult to create
intelligence directly, an intelligent system should inherit the simple mechanism of
evolution in which the simple models could produce the evolution of complex
morphologies.
ISICA 2015 featured the most up-to-date research in the analysis and theory of
evolutionary computation, neural network architectures and learning, neuro-dynamics
and neuro-engineering, fuzzy logic and control, collective intelligence and hybrid
systems, deep learning, knowledge discovery, learning, and reasoning. It provided a
venue for fostering technical exchanges, renewing everlasting friendships, and estab-
lishing new connections.
On behalf of the Organizing Committee, we would like to thank warmly the
sponsors, South China Agricultural University, Guangzhou University, Wuhan
University,andChinaUniversityofGeosciences,whohelpedinonewayoranotherto
achieve ourgoals for the conference.Wewishto expressour appreciation toSpringer
for publishing the proceedings of ISICA 2015. We also wish to acknowledge the
dedicationandcommitmentofboththestaffattheSpringerBeijingofficeandtheCCIS
editorialstaff.Wewouldliketothanktheauthorsforsubmittingtheirwork,aswellas
the Program Committee members and reviewers for their enthusiasm, time, and
VI Preface
expertise. The invaluable help of active members of the Organizing Committee,
includingWeiLi,LeiYang,LixiaZhang,YanChen,LuXiong,LeiZuo,LiangZhong,
WeiguangChen,andLuyanGuo, insettingupandmaintainingtheonlinesubmission
systems,assigningthepaperstothereviewers,andpreparingthecamera-readyversion
of the proceedings is highly appreciated. We would like to thank them for helping to
make ISICA 2015 a success.
November 2015 Kangshun Li
Jin Li
Yong Liu
Aniello Castiglione
Organization
Program Committee
Shaowei Cai Chinese Academy of Sciences, China
Jiannong Cao The Hong Kong University of Science and
Technology, China
Aniello Castiglione University of Salerno, Italy
Weineng Chen Sun Yat-sen University, China
Yan Chen South China Agricultural University, China
Debiao He Wuhan University, China
Jun He Aberystwyth University, UK
Shuqiang Huang Jinan University, China
Xinyi Huang Fujian Normal University, China
Ying Huang Gannan Normal University, China
Chunfu Jia Nankai University, China
Dazhi Jiang Shantou University, China
Nan Jiang East China Jiao Tong University, China
Jin Li Guangzhou University, China
Kangshun Li South China Agrictural University, China
Ping Li Sun Yat-sen University, China
Wei Li Jiangxi University of Science and Technology, China
Xuan Li Fujian Normal University, China
Zhiqiang Lin Chinese Academy of Sciences, China
Xiaozhang Liu Hainan University, China
Zheli Liu Nankai Universisy, China
Xu Ma Qufu Normal University, China
Wen Sheng Deakin University, Australia
Ke Tang UniversityofScienceandTechnologyofChina,China
Ming Tao Dongguan University of Technology, China
Xiang Tao Chongqing University, China
Cong Wang City University of Hong Kong, China
Jiahai Wang Sun Yat-sen University, China
Jianfeng Wang Xidian University, China
Yilei Wang Ludong University, China
Yong Wang Central South University, China
Xianglin Wei Nanjing Telecommunication Technology Research
Institute, China
Di Wu Sun Yat-sen University, China
Lu Xiong Jiangxi University of Science and Technology, China
Honyang Yan Guangzhou University, China
VIII Organization
Lei Yang South China Agricultural University, China
Shuling Yang South China Agricultural University, China
Dongbo Zhang South China University of Technology, China
Lixia Zhang South China Agricultural University, China
Kuo Zhao Jilin University, China
Wei-Shi Zheng Sun Yat-sen University, China
Liang Zhong South China Agricultural University, China
Additional Reviewers
Chen, Peng
Chen, Yan
Li, Wei
Ye, Jun
Zeng, Ling
Contents
Evolutionary Algorithms
A Hybrid Group Search Optimizer with Opposition-Based Learning
and Differential Evolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Chengwang Xie, Wenjing Chen, and Weiwei Yu
A New Firefly Algorithm with Local Search for Numerical Optimization. . . . 13
Hui Wang, Wenjun Wang, Hui Sun, Jia Zhao, Hai Zhang, Jin Liu,
and Xinyu Zhou
ANewTrendPeakAlgorithmwithX-rayImageforWheelHubsDetection
and Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Wei Li, Kangshun Li, Ying Huang, and Xiaoyang Deng
Community Detection Based on an Improved Genetic Algorithm . . . . . . . . . 32
Kangshun Li and Lu Xiong
Selecting Training Samples from Large-Scale Remote-Sensing Samples
Using an Active Learning Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Yan Guo, Li Ma, Fei Zhu, and Fujiang Liu
Coverage Optimization for Wireless Sensor Networks
by Evolutionary Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Kangshun Li, Zhichao Wen, and Shen Li
Combining Dynamic Constrained Many-Objective Optimization with DE
to Solve Constrained Optimization Problems . . . . . . . . . . . . . . . . . . . . . . . 64
Xi Li, Sanyou Zeng, Liting Zhang, and Guilin Zhang
Executing Time and Cost-Aware Task Scheduling in Hybrid Cloud
Using a Modified DE Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
Yuanyuan Fan, Qingzhong Liang, Yunsong Chen, Xuesong Yan,
Chengyu Hu, Hong Yao, Chao Liu, and Deze Zeng
A Novel Differential Evolution Algorithm Based on JADE
for Constrained Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84
Kangshun Li, Lei Zuo, Wei Li, and Lei Yang
A New Ant Colony Classification Mining Algorithm. . . . . . . . . . . . . . . . . . 95
Lei Yang, Kangshun Li, Wensheng Zhang, Yan Chen, Wei Li,
and Xinghao Bi