"This book is a compilation of chapters on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization, offering both soft computing approaches and machining processes"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Chapter 1: Minimization of Casting Defects Using Taguchi Method
• Chapter 2: Evaluation of Optimum Parameters for Casting of Birla Lance Pipes
• Chapter 3: Investigating the Effect of Process Parameters in Incremental Sheet Forming Process
• Chapter 4: Optimization of Surface Roughness in Centreless Grinding Process Based on Taguchi Method
• Chapter 5: MOORA-Driven Decision Making to Select the Optimal Specimen of Organic CMCs
• Chapter 6: TOPSIS-Based Selection of Optimal Proportion Among Different Combinations of Hybrid AMCs
• Chapter 7: A Comparative Assessment of TOPSIS Variants in Multi-Attribute Optimization of EDM Process Parameters
• Chapter 8: An Integrated CRITIC-MARCOS Technique for Analysing the Performance of Steel Industry
• Chapter 9: Data-Driven Genetic Programming-Based Symbolic Regression Metamodels for EDM Process
• Chapter 10: Machine Learning-Based Predictive Modelling of Dry Electric Discharge Machining Process
• Chapter 11: Non-Traditional Machining Process Selection
• Chapter 12: Parametric Optimization of Electrochemical Discharge Machining Using Particle Swarm Optimization Algorithm
• Chapter 13: Optimization of Drilling Parameters for Composite Laminate Using Genetic Algorithm
• Chapter 14: Solution for Multi-Objective Single Row Facility Layout Problem Using PSO Algorithm
• Chapter 15: Progress in Optimization of Physical Vapor Deposition of Thin Films
• Compilation of References
• About the Contributors
• Index