Advanced Engineering Optimization Through Intelligent Techniques

This book comprises peer-reviewed papers presented at the 5th International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2024. It combines contributions from academics and industry professionals, covering advanced optimization techniques across major engineering disciplines. The book discusses various optimization techniques and algorithms such as genetic algorithms, particle swarm optimization, differential evolution, whale optimization algorithm, artificial bee colony algorithm, arithmetic optimization algorithm, beat-worst-random and best-mean-random algorithms, teaching–learning-based optimization algorithm, gray wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques. It also explores several machine learning algorithms and their applications. Additionally, the book explores various multi-attribute decision-making methods such as AHP, TOPSIS, PROMETHEE, dominance-relations based method, Taguchi method, fuzzy logic, and their applications. This book serves as a valuable reference for students, researchers, and practitioners, helping them solve a wide range of optimization problems.

Ravipudi Venkata Rao is a Professor at the Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India. He has over 34 years of teaching and research experience. He completed his B.Tech. in 1988, M.Tech. in 1991, Ph.D. in 2002, and obtained his D.Sc. in 2017. His research interests include advanced optimization algorithms and their applications to design, thermal and manufacturing engineering, fuzzy multiple attribute decision-making (MADM) methods, and their industrial applications. He has authored 8 books and over 390 research papers published in national and international journals and conference proceedings. He has received national and international awards for his research efforts. He is a reviewer for over 80 national and international journals and serves on the editorial boards of several international journals. He has also been a Visiting Professor at the Cracow University of Technology, Poland; Asian Institute of Technology Bangkok, Thailand; and BITS Pilani Dubai, UAE.

Jan Taler is a Senior Professor and Head of the Department of Energy of the Faculty of Environmental Engineering and Energy at Cracow University of Technology, Poland. He has over 50 years of teaching and research experience, having completed his M.Sc. in 1974, Ph.D. in 1977, and D.Sc. in 1987. He has published more than 400 articles in scientific journals. He has authored 15 books and over 30 chapters in scientific monographs and entries in the Encyclopedia of Thermal Stresses. His research focuses on heat transfer engineering and thermal power engineering, with special interests in inverse heat conduction problems, measurement of heat flux and heat transfer coefficient, ash fouling and slagging in steam boilers, dynamics of large steam boilers, and optimization of thermal systems. He has participated in many research projects funded by industry and the Polish Committee for Scientific Research.

Dawid Taler is a Full Professor and Head of the Department of Thermal Processes, Air Protection, and Waste Disposal at Cracow University of Technology, Poland. He has over 25 years of teaching and research experience, having completed his M.Sc. in 1999, Ph.D. in 2002, and D.Sc. in 2009. He has published more than 250 articles in scientific journals and conferences. His research focuses on heat transfer engineering and thermal power engineering, with special interests in optimal design of heat exchangers, heat transfer, thermal and fluids measurements, numerical and CFD modeling of flow and thermal processes, dynamics of heat exchangers and steam boilers, inverse heat transfer problems, thermal stresses, thermal power plants, renewable energy sources, heating systems, and optimal design of thermal systems and devices. He has managed many research projects funded by industry and Polish government agencies.