-------- Forwarded Message -------- Subject: [AISWorld] CRC Press/Routledge (T&F): Call for Book Chapters Date: Sat, 29 Aug 2020 07:12:32 +0000 From: #KULKARNI ANAND JAYANT# KULK0003@e.ntu.edu.sg To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

Metaheuristic Algorithms in Industry 4.0

Aim and Scope Optimization is widely used in all disciplines for various industrial applications including product design, static/transient analyses, plant layout, supply chain, inventory planning, production planning/scheduling, automation, robotics, building architecture, material handling, tooling, assembly line balancing, system modeling/identification, tuning of various controllers, machine learning and many more. Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modeling and optimization. Artificial intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen / unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning and computer vision will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all internet of things (IoT) enabled work and office spaces.

Optimization promises to play a pivotal role in this interplay of physical machines, control systems and artificial intelligence. However, the traditional optimization methodologies are inept at handling complexities of big data analytics and new age dynamic systems. Metaheuristics are nature inspired answers to such 21st century world problems. Metaheuristics are typically socio inspired, bio inspired or physics derived algorithms based on simple principles that have proven effective in varied domains. With respect to advanced control systems, metaheuristics can be applied for selection of controllers as per different applications such as auto tuning of systems. Effective industry 4.0 implementation will include integration of cyber physical systems, control systems, IoT, smart computing, novel sensor applications, collaborative robotics, intelligent fault diagnosis and predictive maintenance for smart factories of tomorrow.

We invite original chapter contributions (industrial case studies will be preferred) associated with metaheuristics in industry 4.0 as per the following list (not limited to) -

1. Introduction to Metaheuristics 2. Introduction to Industry 4.0 3. Survey on Metaheuristics in Control Systems 4. Survey on Metaheuristic Applications in Sensor Networks 5. Real Time System Identification and Advanced Controllers for Industry 4.0 - case studies involving metaheuristics 6. Wireless Sensor Networks and Metaheuristics in Industry 4.0 7. Survey on Cyber Physical Systems and Smart Computing 8. Cyber Physical Systems and Metaheuristics in Industry 4.0 9. Metaheuristics in Machine Learning / Deep Learning and Cybersecurity (Industry 4.0 perspective) 10. Survey on Evolution of Robotics and Smart Factories 11. Metaheuristics in Robotics and Smart Manufacturing 12. Metaheuristics in Predictive Analytics / Predictive Maintenance

Interested contributors are requested to prepare chapter(s) from the above list and send submissions to the Editors at chair.oatresearchlab@gmail.commailto:chair.oatresearchlab@gmail.com.

Important Dates Full Chapter Submission: October 31, 2020 (No more than 30 pages) Chapter Review Notification: November 25, 2020 Revised Chapter Due: December 25, 2020 Final Acceptance: January 15, 2021 Expected Publication Date: March 15, 2021

Editors Pritesh Shah Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune 412115, MH, India Email: pritesh.shah@sitpune.edu.inmailto:pritesh.shah@sitpune.edu.in

Ravi Sekhar Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune 412115, MH, India Email: ravi.sekhar@sitpune.edu.inmailto:ravi.sekhar@sitpune.edu.in

Anand J Kulkarni Symbiosis Center for Research and Innovation Symbiosis International (Deemed University) Pune 412115, MH, India Email: anand.kulkarni@sitpune.edu.inmailto:anand.kulkarni@sitpune.edu.in; kulk0003@ntu.edu.sgmailto:kulk0003@ntu.edu.sg

Patrick Siarry Laboratory of Image, Signal and Intelligent Systems Paris-Est Creteil University, France Email: siarry@u-pec.frmailto:siarry@u-pec.fr

-- Anand J Kulkarni PhD, MASc, BEng, DME

Associate Professor Symbiosis Center for Research and Innovation Symbiosis International (Deemed University) Pune 412 115, MH, India Email: anand.kulkarni@sitpune.edu.inmailto:anand.kulkarni@sitpune.edu.in kulk0003@ntu.edu.sgmailto:kulk0003@ntu.edu.sg; anandmasc@gmail.commailto:anandmasc@gmail.com URL: sites.google.com/site/oatresearch/anand-jayant-kulkarnihttp://sites.google.com/site/oatresearch/anand-jayant-kulkarni Ph: 91 20 6193 6790

ResearcherID: www.researcherid.com/rid/O-3585-2016http://www.researcherid.com/rid/O-3585-2016 ORCID ID: orcid.org/0000-0001-6242-9492http://orcid.org/0000-0001-6242-9492 Google Scholar: scholar.google.ca/citations?user=IAvtDokAAAAJ&hl=enhttp://scholar.google.ca/citations?user=IAvtDokAAAAJ&hl=en

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