学术活动 Activities

Special Session:  Evolutionary Computation for Creativity, Manufacture and Engineering Management in the Industry 4.0 Era (ECMi4)

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2019 IEEE Congress on Evolutionary Computation (CEC2019)

Special Session: Evolutionary Computation for Creativity, Manufacture and Engineering Management in the Industry 4.0 Era (ECMi4)


Overview

Computational intelligence has found increasing applications to smart design, digital manufacturing and engineering management. This Special Session gathers research results and researchers together in this area, with a foresight on Industry 4.0 (i4). Focusing on intelligent manufacturing and cyber-physical systems so far, efforts in either i4 have lacked smart design and business elements for manufacture that are necessary in completing this unprecedented upgrade of the value chain. A rising demand for an intelligent design and manufacturing system, using intelligent tools, such as evolutionary computation, has seen increased requirements of customisation, flexibility, efficiency, responsiveness, and cost-effectiveness of products and their manufacturing. These requirements become urgent in the international race to the next "industrial revolution", as highlighted by i4, which aims at upgrading the entire manufacturing value chain through turning the factory floor into an innovation centre capable of mass customisation at a mass production cost. 


Scope and Topics

This Special Session solicits original research papers or reviews that would shape and advance design, manufacture and engineering management in the Industry 4.0 era. Computational intelligence utilises a set of nature-inspired modelling and optimisation approaches to complex real-world problems. Papers addressing how to create designs and build machines smartly, thereby leading to a step improvement in manufacturing autonomy and industrial efficiency, performance and competitiveness, would be particularly welcome.  


Main Topics (include, but are not limited to):

  • Computational intelligence automated design 

  • AI-driven engineering design and product creation 

  • AI-guided simulation and modelling 

  • High performance computing for smart design 

  • Cyber-physical systems with computational intelligence

  • Industry 4.0 with computational intelligence

  • Computation intelligence for Industry 4.0 in a cloud and big data environment

  • Computation intelligence and data science for marketing in an Industry 4.0 value chain

  • Evolutionary learning techniques for Industry 4.0 business informatics

  • Computation intelligence and data science applications to marketing for design;

  • Evolutionary distributed or cloud computing for interactive product design and marketing;

  • High-volume industrial products for industry 4.0 customisation and innovation

  • Intelligent machinery and smart manufacturing

  • Computational intelligence for sensor technology in Industry 4.0

  • Evolutionary computation for scheduling, layout and process optimisation in Industry 4.0

  • Multi-objective optimisations for design and manufacture

  • Hardware and software platforms for smart design automation  

  • Intelligent manufacturing system design, optimisation, control and operation

  • Evolutionary computation in industrial computer vision and robotics

  • Human-machine interface and integration in an industrial environment

  • Robotics-related computer hardware, software, and architectures

  • Robotics in manufacturing and flexible automation

  • Autonomous design and manufacturing

  • Intelligent operational research and management


Special Session Organisers

(1)Dr Leo Yi Chen, leo.chen@ieee.org

Industry 4.0 Artificial Intelligence Laboratory, Dongguan University of Technology


Leo Yi Chen (BSc, MSc, BSc, MSc, PhD, CEng, FHEA, SMIEEE, MIMEchE, MAAAI, MIET, MAIAA, MASME), is with Industry 4.0 Artificial Intelligence Laboratory at Dongguan University of Technology. His research which has been published in scholarly journals and edited volumes, explores the aspects: artificial intelligence, intelligent design and manufacture, robotics, etc. Dr Chen also studies advanced simulations of evaluation and preference in multidisciplinary contexts via high performance computing, which demonstrates significant research and grant potential in engineering and cross-disciplinary applications. Besides, He is one of the Editorial Board Members, and he has been one of the Guest Editors for 5 special issues. He is supervising 3 PhD students and has examined over 20 Postgraduate students' theses as both internal and external examiner. Dr Chen has published over 70 academic papers in both high impact international academic journal and international conferences and has been selected as one of the Publons' top 1% of reviewers in Computer Science and Engineering. He has been actively involved in both academic research and KTP projects as PI and CoI funded by the EPSRC (UK), Horizon2020 (EU), NSFC (China) and Industrial funding bodies. One of the co-organisers of the WCCI'16: Computational Intelligence for Industry 4.0 Special Session.


(2)Professor Chuan-Kang Ting, ckting@pme.nthu.edu.tw

Department of Power Mechanical Engineering, National Tsing Hua University


Chuan-Kang Ting received the B.S. degree from National Chiao Tung University, Taiwan, the M.S. degree from National Tsing Hua University, Taiwan, and the Ph.D. degree from the University of Paderborn, Germany. He is currently a Professor at Department of Power Mechanical Engineering, National Tsing Hua University, Taiwan. His research interests are in evolutionary computation, computational intelligence, metaheuristic algorithms, and their applications in intelligent machinery and manufacturing, transportation and logistics networks, bioinformatics, music and games. He is an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, and an Editorial Board Member of Soft Computing and Memetic Computing journals. He chaired the AI Forum 2012 and co-chaired the 2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing.


(3)Professor Hongnian Yu, yuh@bournemouth.ac.uk

Industry 4.0 Artificial Intelligence Laboratory, Dongguan University of Technology

Faculty of Science and Technology, Bournemouth University


Hongnian Yu has held academic positions at the Universities of Sussex, Liverpool John Moor, Exeter, Bradford, Staffordshire and Bournemouth in the UK. He is currently Professor in Computing at Bournemouth University. He has extensive research experience in mobile computing, modelling, scheduling, planning, and simulations of large discrete event dynamic systems with applications to manufacturing systems, supply chains, transportation networks, computer networks and RFID applications, modelling and control of robots and mechatronics, and neural networks. He has graduated over 20 PhD/MPhil and MRes research students, is supervising 8 PhD students, and has examined over 20 PhD/MPhil students’ theses as both internal and external examiner. He has published over 200 journal and conference research papers. He has held several research grants from the UK EPSRC, the Royal Society, and the EU, AWM, as well as from industry. Prof Yu was awarded the F.C. William Premium for his paper on adaptive and robust control of robot manipulators by the IEE Council.He is a member of the EPSRC Peer Review College. Prof Yu has a strong research collaboration with partners from China, France, Germany, Hungary, Italy, Japan and Thailand.


(4)Professor Yun Li, Yun.Li@ieee.org

Industry 4.0 Artificial Intelligence Laboratory, Dongguan University of Technology

Department of Design, Manufacture and Engineering Management, University of Strathclyde


Yun Li worked as Consultant Engineer at U.K. National Engineering Laboratory in 1989, and as post-doctoral research engineer at U.K. Industrial Systems and Control Ltd in 1990. In 1991, he joined University of Glasgow as Lecturer and developed one of the world’s first 30 evolutionary computation courses in 1995 with the popular online interactive genetic algorithm courseware EA Demo.  In 1998, he established and chaired both the IEEE Computer-Aided Control System Design Evolutionary Computation Working Group, and the European Network of Excellence in Evolutionary Computing Workgroup on Systems, Control, and Drives for Industry.  During 2011-2013, Prof Li served as the Founding Director of University of Glasgow Singapore.  Professor Li has over 200 publications, one of which is in “Research Front in Computer Science”, one in “Research Front in Engineering”, four in “Essential Science Indicators”, one the ‘most popular’ every month in IEEE Transactions on Control Systems Technology and another ‘most cited’ in IEEE Transactions on Systems, Man, and Cybernetics – Part B. Prof Li organized an Industry 4.0 Special Session at ICAC’15 and at WCCI'16, and chaired the UK EPSRC funded conference “Looking Beyond Industry 4.0” held in Glasgow in 2017.


Important Dates

Paper submission: 7 January, 2019

Decision notification: 7 March, 2019

Camera-ready paper due: 31 March, 2019

Registration: 31 March, 2019

Conference: 10 June, 2019


Note: all deadlines are 11:59pm US Pacific time.



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