Metaheuristics Algorithm and Optimization of Engineering and Complex Systems

Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
Author :
Publisher : IGI Global
Total Pages : 416
Release :
ISBN-10 : 9798369333150
ISBN-13 :
Rating : 4/5 (50 Downloads)

Book Synopsis Metaheuristics Algorithm and Optimization of Engineering and Complex Systems by : R., Thanigaivelan

Download or read book Metaheuristics Algorithm and Optimization of Engineering and Complex Systems written by R., Thanigaivelan and published by IGI Global. This book was released on 2024-07-23 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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