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"A Study on Flow Shop Scheduling Through Soft Computing Techniques" by Shailendra Giri is a comprehensive research book that explores the use of soft computing techniques for flow shop scheduling problems. The book provides a detailed analysis of the flow shop scheduling problem and presents various soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and swarm intelligence for solving this complex problem. The book also includes case studies and simulations that demonstrate the effectiveness of soft computing techniques for flow shop scheduling. The author discusses the advantages and limitations of each method and provides insights into the potential applications of these techniques in different industries. The book is a valuable resource for researchers, practitioners, and students in the fields of industrial engineering, operations research, and production planning and control. It offers a unique perspective on flow shop scheduling and provides readers with the tools and techniques needed to address real-world scheduling problems using soft computing techniques. Overall, "A Study on Flow Shop Scheduling Through Soft Computing Techniques" is an informative and well-written book that bridges the gap between theory and practice. It is a must-read for anyone interested in understanding the latest advancements in soft computing techniques and their applications in flow shop scheduling.