Intelligent Computing and Optimization Proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020)

Third edition of International Conference on Intelligent Computing and Optimization and as a premium fruit, this book, pursue to gather research leaders, experts and scientists on Intelligent Computing and Optimization to share knowledge, experience and current research achievements. Conference and book provide a unique opportunity for the global community to interact and share novel research results, explorations and innovations among colleagues and friends. This book is published by SPRINGER, Advances in Intelligent Systems and Computing. Ca. 100 authors submitted full papers to ICO’2020. That global representation demonstrates the growing interest of the research community here. The book covers innovative and creative research on sustainability, smart cities, meta-heuristics optimization, cyber-security, block chain, big data analytics, IoTs, renewable energy, artificial intelligence, Industry 4.0, modeling and simulation. We editors thankall authors and reviewers for their important service. Best high-quality papers have been selected by the International PC for our premium series with SPRINGER. 

Part 1: Sustainable Clean Energy System.- Chapter 1. Adaptive Neuro-Fuzzy Inference based Modelling of Wind Energy Harvesting System for Remote Areas.- Chapter 2. Features of Distributed Energy Integration in Agriculture.- Chapter 3. Concept of Multi-Contact Switching System.- Part 2: Sustainable Optimization, Metaheuristics and Computing for Expert System.- Chapter 4. The Results of a Compromise Solution which were Obtained on the Basis of The Method of Uncertain Lagrange Multipliers to Determine the Influence of Design Factors of the Elastic-Damping Mechanism in the Tractor Transmission.- Chapter 5. Multiobjective Lévy-Flight Firefly Algorithm for Multiobjective Optimization.- Chapter 6. Cooperative FPA-ATS Algorithm for Global Optimization.- Part 3: Advances in Algorithms, Modeling and Simulation for Intelligent Systems.- Chapter 7. Modeling and simulation of rectangular sheet membrane using computational fluid dynamics (CFD).- Chapter 8. End to End Supply Chain Costs Optimization Based on Material Touches Reduction.- Chapter 9. Computer Modeling Selection of Optimal Width of Rod Grip Header to the Combine Harvester.- Part 4: Application of Machine Learning and Artificial Intelligence Technology.- Chapter 10. Gender Classification from Inertial Sensor-Based Gait Dataset.- Chapter 11. Lévy-Flight Intensified Current Search for Multimodal Function Minimization.- Chapter 12. Cancer Cell Segmentation Based on Unsupervised Clustering and Deep Learning.- Part 5: Holistic IoT, Deep Learning and Information Technology.- Chapter 13. Mosquito Classication using Covolutional Neural Network with Data Augmentation.- Chapter 14. Recommendation System for E-commerce using Alternating Least Squares (ALS) on Apache Spark.- Chapter 15. An Interactive Computer System with Gesture-Based Mouse and Keyboard.- Part 6: Advances in Engineering and Technology.- Chapter 16. Floor-mounted Heating of Piglets with the Use of  Thermoelectricity.-Chapter 17. The Rationale for Using Improved Flame Cultivator for Weed Control.- Chapter 18. The lighting plan: from a sector-specific urbanistic instrument to an opportunity of enhancement.

Ivan Zelinka is currently working at the Technical University of Ostrava (VSB-TU), Faculty of Electrical Engineering and Computer Science. He graduated consequently at Technical University in Brno (1995 – MSc.), UTB in Zlin (2001 – PhD) and again at Technical University in Brno (2004 – assoc. prof.) and VSB-TU (2010 - professor). Before academic career, he was an employed like TELECOM technician, computer specialist (HW+SW) and Commercial Bank (computer and LAN supervisor). During his career at UTB, he proposed and opened 7 different lectures. He also has been invited for lectures at numerous universities in different EU countries plus the role of the keynote speaker at the Global Conference on Power, Control and Optimization in Bali, Indonesia (2009), Interdisciplinary Symposium on Complex Systems (2011), Halkidiki, Greece and IWCFTA 2012, Dalian China. The field of his expertise if mainly on unconventional algorithms and cybersecurity. He is and was responsible supervisor of 3 grant of fundamental research of Czech grant agency GACR, co-supervisor of grant FRVŠ - Laboratory of parallel computing. He was also working on numerous grants and two EU project like a member of the team (FP5 - RESTORM) and supervisor (FP7 - PROMOEVO) of the Czech team and supervisor of international research (founded by TACR agency) focused on the security of mobile devices (Czech - Vietnam). Currently, he is a professor at the Department of Computer Science and in total, he has been the supervisor of more than 40 MSc. and 25 Bc. diploma thesis. Ivan Zelinka is also supervisor of doctoral students including students from the abroad. He was awarded by Siemens Award for his PhD thesis, as well as by journal Software newsfor his book about artificial intelligence. Ivan Zelinka is a member of British Computer Society, Editor in chief of Springer book series: Emergence, Complexity and Computation, Editorial board of Saint Petersburg State University Studies in Mathematics, a few international program committees of various conferences and international journals. He is the author of journal articles as well as of books in Czech and English language and one of three founders of TC IEEE on big data. He is also head of research group NAVY.