Metaheuristic and Machine Learning Optimization Strategies for Complex Systems

· · ·
· IGI Global
Ebook
427
pagine
Idoneo

Informazioni su questo ebook

In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges.

Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.

Informazioni sull'autore

S. Kaliappan is Professor & Head in the Department of Mechatronics Engineering at KCG College of Technology, Chennai-97, where he has been a faculty member since 2023. He completed his Ph.D. and M.E at Anna University, Chennai and his B.E at R.V.S College of Engineering & Technology, Dindigul. He is having more than 26 years experience . He is recognized supervisor at Anna University in the Department of Mechanical Engineering in the research area Thermal Engineering, Heat Transfer, CFD, Composite Materials. He has served as technical committee head in conferences and workshop and worked as the reviewers and Editorial Board Member for several National and International Journals. He published almost 142 research articles in various national and international journals and conferences, organized STTPs, FDPs, Conferences and other technical events. He holds international Australian Patent Grants and published Indian Patents. He co-authored 18 books . He is Life member in ISTE, IAENG, UAMAE, theIRED and SAEINDIA. He got Best Academician Award for the year 2023 and Young Researcher Award in InSc awards-2021.

Dr Mothilal currently working as Professor and Head in the Department of Automobile in KCG College of Technology, earned Bachelor Degree in Mechanical Engineering from Madras University followed by Master’s Degree in Internal Combustion Engineering from Anna University and completed Ph.D. in Thermal science. Having 23 years of teaching, good at thermal related subjects, Research interest lie in thermal Engineering, CFD, composite material, Materials Engineering, Heat Transfer etc, published more than 40 journals,6 patents granted, Throughout the career received numerous accolades like best paper presentation award several times, domain awards in NPTEL, delivered lecture in various engineering college, Life member in Indian Society for Technical Education (LMISTE), International Association of Engineers (IAENG) , Institute of Research Engineers and Doctors (theIRED), and also member in Society of Automotive Engineers (SAEINDIA).Recognized research supervisor in Anna University in the Department of Mechanical Engineering, organised several events , workshop, conference etc [Editor]

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