Examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions like automating search spaces through integrated heuristics. It provides an exhaustive overview of modern computational methods within emerging fields. It incorporates state-of-the-art articles from classical application areas.
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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.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the field of engineering, optimization and decision-making have become pivotal concerns. The ever-increasing demand for data processing has given rise to issues such as extended processing times and escalated memory utilization, posing formidable obstacles across various engineering domains. Problems persist, requiring not only solutions but advancements beyond existing best practices. Creating and implementing novel heuristic algorithms is a time-intensive process, yet the imperative to do so remains strong, driven by the potential to significantly lower computational costs even with marginal improvements. This book, titled Metaheuristics Algorithm and Optimization of Engineering and Complex Systems , is a beacon of innovation in this context. It examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions such as automating search spaces through integrated heuristics. Designed to cater to a broad audience, this book is a valuable resource for both novice and experienced dynamic optimization practitioners. By addressing the spectrum of theory and practice, as well as discrete versus continuous dynamic optimization, it becomes an indispensable reference in a captivating and emerging field. With a deliberate focus on inclusivity, the book is poised to benefit anyone with an interest in staying abreast of the latest developments in dynamic optimization. Seller Inventory # 9798369350027