Socio-cultural Inspired Metaheuristics

Optimum Design of Four Mechanical Elements Using Cohort Intelligence Algorithm.- Premier League Championship Algorithm: a multi-population based Algorithm and its Application on Structural Design Optimization.- Socio-inspired Optimization Metaheuristics: A Review.- Social Group Optimization Algorithm for Pattern Optimization in Antenna Arrays.- A Self-organizing Multi-agent Cooperative Robotic System: An Application of Cohort Intelligence Algorithm.- Feature Selection for Vocal Segmentation Using Social Emotional Optimization Algorithm.- Simultaneous Size and Shape Optimization of Dome-shaped Structures Using Improved Cultural Algorithm.- A Socio-Based Cohort Intelligence Algorithm for Integer Discrete and Mixed Design Variables Engineering Problems.- Maximizing Profits in Crop Planning Using Socio Evolution and Learning Optimization.- Application of Cohort- intelligence Variations Designing Fractional PID Controller for Various Systems.

Anand J. Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore, M.S. in AI from the University of Regina, Canada, and Bachelor of Engineering from Shivaji University, India. He worked as a Research Fellow on a cross-border supply-chain disruption project at Odette School of Business, University of Windsor, Canada. Currently, he is working as Head and Associate Professor at the Symbiosis Institute of Technology, Pune, India. His research interests include optimization algorithms, multi-objective optimization, multi-agent systems, complex systems, swarm optimization, game theory and self-organizing systems. He is the founder and chairman of the OAT Research Lab. Anand has published over 40 research papers in peer-reviewed journals and conferences along with two books.

Pramod Kumar Singh is an Associate Professor in Information and Communication Technology at the ABV-Indian Institute of Information Technology and Management, Gwalior, India. He completed his B. Tech. from the Kamla Nehru Institute of Technology, Sultanpur, UP, India, and M. Tech. and Ph.D. from the Indian Institute of Technology, Kharagpur, India. His research interest includes computational intelligence, multi-objective optimization, data mining, text analytics, and machine learning. He is member of IEEE and ACM. He has been Associate Editor of IJSI and Guest Editor of JOCS. Besides, he is on the reviewer board of various reputed journals published by IEEE (including Transactions), Elsevier, Springer, ACM, and Taylor and Francis. He has published more than 70 research papers in various international journals and conferences.

Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT, Odisha, India. Previously, he was a Professor and Head of the Department of CSE at ANITS, AP, India. He received his Ph.D. in CSE from JNTU, Hyderabad and M.Tech. in CSE from the NIT, Odisha. He has more than