Springer Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 1: 1392 (Advances in Intelligent Systems and Computing, 1392)

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task. From the Back Cover This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task. About the Author Dr. Aruna Tiwari is Associate Professor in Computer Science & Engineering at IIT Indore, India.  Her all degrees B.Tech., M.Tech., Ph.D. are in Computer Science & Engineering from SGSITS Indore. She has more than 20 years of research experience in the areas such as artificial intelligence, machine learning, and soft-computing. Her work is around artificial neural networks, fuzzy clustering, evolutionary computation and their applications to bioinformatics, and medical diagnosis. Her research directions are toward the design of intelligent computing algorithms for classification, clustering, and feature selection which can handle big data. She has more than 30 journal publications of international repute including more than 5 IEEE transactions and Elsevier journals of high impact factor and has published more than fifty research articles in the ranked conferences.  She has established a big data handling lab in IIT Indore which is funded by Council of Science & Industrial Research (CSIR) Government of India in 2017.  She has enabled two MOUs, collaborating with Indian Institute of Soybean Research, Indore, and CSIR-Central Electronics Engineering Research Institute, Pilani.  She has recently initiated a consortium project on Artificial Intelligence which is approved from Ministry of Electronics & Information Technology (MeitY) Government of India. There are seven PhDs and more than 25 masters awarded under her guidance.   Dr. Kapil Ahuja holds master’s and Ph.D. degrees in Mathematics and Computer Science (from Virginia Tech, USA) and has a strong interdisciplinary focus. After graduating earlier this decade from VT, he received his postdoctor