This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations.
- Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management
- Presents various soft computing techniques
- Offers problems and their optimization using various soft computing techniques
- Discusses related software programs, with illustrations
- Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems
Section I. Introduction to Soft Computing Techniques. Chapter 1. Introduction to Optimization and Relevance of Soft Computing towards Optimal Solution. Chapter 2. Various Soft Computing Techniques and Their Description. Section II. Various Case Studies Comprising Industrial Problems and Their Optimal Solutions Using Different Techniques. Chapter 3. Single-Objective Optimization Using Response Surface Methodology. Chapter 4. Multi-Objective Oprimization Using Weighted Principal Component Analysis. Chapter 5. Single-Objective Optimization Using Taguchi Technique (Maximization). Chapter 6. .Single-Objective Optimization Using Taguchi Technique (Minimization). Chapter 7. Multi-Objective Optimization Using Grey-Taguchi Technique. Chapter 8. Multi-Objective Optimization Using Taguchi-Coupled Fuzzy Logic. Chapter 9. Multi-Objective Optimization Using Non-Dominated Sorting Genetic Algorithm. Chaper 10. Single-Objective Optimization Using Artificial Bee Colony Algorithm. Section III. Hands-On Training on Various Software Dedicated for the Usage of Techniques. Chapter 11. Working with Minitab for Optimization Using Taguchi Technique. Chapter 12. Workign with MATLAB for Optimization Using Artificial Neural Network. Chapter 13. Working with MATLAB for Optimization Using Genetic Algorithm.