"This book explores the applications of soft computing techniques in mechanical engineering field, conveys the innovative research ideas, the real-world utility of mathematics, and has a prodigious significance in the life of academics, practitioners, researchers and industry leaders"--.

• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Chapter 1: Decision Making Under Deep Uncertainty With Fuzzy Algorithm in Framework of Multi-Model Approach
• Chapter 2: Fixed Charged Solid Transportation Problem With Budget Constraints in Type-2 Fuzzy Variables
• Chapter 3: Identification of Optimal Process Parameters in Electro-Discharge Machining Using ANN and PSO
• Chapter 4: Nature-Inspired Metaheuristic Approach for Multi-Objective Optimization During WEDM Process
• Chapter 5: Optimization of Process Parameters in Plasma Arc Cutting Applying Genetic Algorithm and Fuzzy Logic
• Chapter 6: Artificial Neural Network Training Algorithms in Modeling of Radial Overcut in EDM
• Chapter 7: Optimal Designs by Means of Genetic Algorithms
• Chapter 8: Analyzing Sustainable Food Supply Chain Management Challenges in India
• Chapter 9: A Hybrid Genetic Scatter Search Algorithm to Solve Flexible Job Shop Scheduling Problems
• Chapter 10: Electrical Discharge Coating by Copper-Tungsten Composite Electrode Prepared by Powder Metallurgy Route
• Chapter 11: Novel Approaches to Prediction of a Future Number of Failures Based on Previous In-Service Inspections
• Chapter 12: Selection of Appropriate Turbulance Model in Fuel Bundle of Nuclear Energy
• Chapter 13: Summability Techniques and Their Applications in Soft Computing
• Chapter 14: Applying Multi-Objective Optimization Algorithms to Mechanical Engineering
• Compilation of References
• About the Contributors
• Index