Optimization Techniques and Applications : SocProS 2025, Roorkee, India, February 24-26

This book offers a comprehensive collection of 33 research contributions presented at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025): Artificial Intelligence for Viksit Bharat, held at the Indian Institute of Technology Roorkee, Uttrakhand, India, from 24th to 26th February 2025. It focusses on the powerful interplay between advanced mathematical methods and optimization techniques. The book features research on diverse topics, such as fractional calculus, swarm intelligence, fuzzy logic, neutrosophic theory, decision-making models and resource optimization in engineering systems.

Focusing on topics related to optimization in energy production and consumption, the book emphasizes applications that directly relate to SDG 7 (Affordable and Clean Energy). It also discusses application in smart networks, inventory management, metro rail construction, financial market modeling and sustainable practices. Special attention is given to metaheuristic algorithms, multi-objective optimization problems, predictive modeling and the analytical solutions of complex differential systems. It serves as a valuable reference for researchers and practitioners in applied mathematics, computer science, engineering optimization and operations research. The book bridges theoretical foundations with practical solutions to modern, real-world problems, emphasizing interdisciplinary approaches and computational techniques.

Millie Pant is Professor in the Department of Applied Mathematics and Scientific Computing at the Indian Institute of Technology Roorkee, Uttrakhand, India. She specializes in data science and artificial intelligence, with significant contributions to optimization algorithms and their applications. She has a robust publication record and has guided numerous Ph.D. and M.Tech. students, reflecting her commitment to research and education in advanced mathematical and computational methods.
Kusum Deep is Full Professor (HAG) in the Department of Mathematics as well as Joint Faculty at the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Technology Roorkee, Uttrakhand, India. Also, she is Visiting Professor, Liverpool Hope University, UK; University of Technology Sydney, Australia; and University of Wollongong, Australia. With B.Sc. Hons and M.Sc. from the Centre for Advanced Studies, Panjab University, Chandigarh, India, she is an M.Phil. Gold Medalist. She earned her PhD from the University of Roorkee, now the Indian Institute of Technology (IIT) Roorkee, in 1988. She has been a national scholarship holder and a Post-Doctoral from Loughborough University, UK, assisted by International Bursary funded by the Commission of European Communities, Brussels. She has won numerous awards like the Khosla Research Award, the UGC Career Award, the Starred Performer of IITR Faculty, Best Paper Awards by the Railway Bulletin of Indian Railways, special facilitation in memory of late Prof. M. C. Puri, the AIAP Excellence Award. She is one of the four women from the IIT Roorkee to feature in the ebook, Women in STEM-2021, celebrating the contributions made by 50 Indian women in STEM published by the Confederation of Indian Industries. According to Stanford University, she falls within the top 2% of the scientists in the world for 2019 and 2020. In 2021, she bagged the prestigious POWER grant awarded by SERB-DST, the Government of India.
Atulya K. Nagar is the Foundation Chair Professor in the School of Mathematics, Computer Science and Engineering as well as Pro Vice-Chancellor (Research) at Liverpool Hope University, United Kingdom. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (DPhil) in applied nonlinear mathematics, which he earned from the University of York (UK) in 1996. He holds BSc (Hons), MSc and MPhil (with distinction) in mathematical physics from the MDS University of Ajmer, Rajasthan, India. He is a fellow of the Institute of Mathematics and Its Applications (FIMA) and a fellow of the Higher Education Academy (FHEA). His research expertise is in the area of applied nonlinear analysis, natural computing and systems engineering.