Overview
- Presents recent research in the field of soft computing and applications
- Discusses the outcomes of ICHSA 2022, held in Seoul, South Korea
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 140)
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Table of contents (49 papers)
Editors and Affiliations
About the editors
Dr.Kusum Deep, is a full Professor (HAG), with the Department of Mathematics as well as Joint Faculty at the Centre for Artificial Intelligence and Data Science at the Indian Institute of Technology Roorkee, India. Also, she is a visiting professor, Liverpool Hope University, UK, University of Technology Sydney, Australia, and University of Wollongong, Australia. With B.Sc. Hons and M.Sc. Hons. School from Centre for Advanced Studies, Panjab University, Chandigarh, she is an M.Phil. Gold Medalist. She earned her Ph.D. from UOR (now IIT Roorkee) in 1988. She has been a national scholarship holder and a postdoctoral from Loughborough University, UK, assisted by International Bursary funded by Commission of European Communities, Brussels. She has won numerous awards like Khosla Research Award, UGC Career Award, Starred Performer of IITR Faculty, best paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of late Prof. M. C. Puri, AIAP Excellence Award. Recently,she was one of the four women from IIT Roorkee to feature in the ebook “Women in STEM-2021” celebrating the contributions made by 50 Indian women in STEM published by Confederation of Indian Industries. She has authored two books, supervised 20 Ph.Ds. and published 125 research papers. She is a Senior Member of ORSI, CSI, IMS, and ISIM. She is the executive editor of International Journal of Swarm Intelligence, Inderscience. She is associate editor of Swarm and Evolutionary Algorithms, Elsevier, and is on the editorial board of many journals. She is the founder president of Soft Computing Research Society, India. She is the general chair of series of International Conference on Soft Computing for Problems Solving (SocProS). She has a vast teaching experience in Mathematics, Operations Research, Numerical and Analytical Optimization, Parallel Computing, Computer Programming, Numerical Methods, etc. Her research interests are nature-inspired optimization techniques, particularly Evolutionary Algorithms, and Swarm Intelligence Techniques and their applications to solve real-life problems.
Zong Woo Geem is a faculty of IT Convergence College at Gachon University, South Korea. He has obtained B.Eng. in Chung-Ang University, Ph.D. in Korea University, and M.Sc. in Johns Hopkins University and researched at Virginia Tech, University of Maryland-College Park, and Johns Hopkins University. He invented a music-inspired optimization algorithm, harmony search, which has been applied to various scientific and engineering problems. His research interest includes phenomenon-mimicking algorithms and their applications to energy, environment, and water fields. He has served as an editor/editorial board for various journals including Engineering Optimization, Swarm Evolutionary Computation, Int. Journal of Bio-Inspired Computation, Journal of Applied Mathematics, Applied Sciences, Complexity, and Sustainability.
Dr. Ali Sadollahreceived his B.S. degree in mechanical engineering, solid states, from Azad University, Semnan Branch, Iran in 2007. He received his M.S. degree in mechanical engineering, applied mechanics, from Semnan University, Semnan, Iran in 2010. He obtained his Ph.D. at the faculty of mechanical engineering, University of Malaya, Kuala Lumpur, Malaysia in 2013. Also, since 2014, he served as a postdoctoral research fellow for more than 2 years at Korea University, Seoul, South Korea. In 2016 for a year, he served as a research staff at Nanyang Technological University, Singapore. Afterwards, he was a guest assistant professor at the Sharif University of Technology, Tehran, Iran. Currently, he is an assistant professor at the department of mechanical engineering at the University of Science and Culture, Tehran, Iran. His research interests include algorithm development, engineering optimization, metaheuristics, applications of soft computing methods in engineering, artificial neural networks, and computational solid mechanics.
Dr. Anupam Yadav, assistant professor, Department of Mathematics, Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, and he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done a Ph.D. in soft computing from the Indian Institute of Technology Roorkee, and he had worked as a research professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a textbook entitled “An introduction to neural network methods for differential equations”. He has edited three books which are published by AISC, Springer Series. Dr. Yadav was the general chair, convener, and member of the steering committee of severalinternational conferences. He is a member of various research societies.
Bibliographic Information
Book Title: Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications
Book Subtitle: ICHSA 2022
Editors: Joong Hoon Kim, Kusum Deep, Zong Woo Geem, Ali Sadollah, Anupam Yadav
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-981-19-2948-9
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-2947-2Published: 02 September 2022
Softcover ISBN: 978-981-19-2950-2Published: 03 September 2023
eBook ISBN: 978-981-19-2948-9Published: 01 September 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XV, 522
Number of Illustrations: 38 b/w illustrations, 124 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Algorithms