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"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"--.
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Table of Contents
- 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
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