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.
Chapter 1. Introduction to Optimization & Relevance of Soft Computing Techniques Towards Optimal Solution. Section 1: Optimization. 2. Various Soft Computing Techniques and their Description. Section 2: History of Heuristics / Search Algorithms. 3. Single Objective Optimization using Response Surface Methodology. 4. Multi Objective Optimization using Weighted Principal Component Analysis. 5. Single Objective Optimization using Taguchi Technique (Maximization). 6. Single Objective Optimization using Taguchi Technique (Minimization). 7. Multi-Objective Optimization using Grey-Taguchi Technique. 8. Single Objective Optimization using Taguchi Coupled Fuzzy Logic. 9. Multi-Objective Optimization using Non-Dominated Sorting Genetic Algorithm. 10. Single Objective Optimization using Artificial Bee Colony Algorithm. Section 3: Working with MINITAB and MATLAB. 11. Working with MINITAB for Optimization using Taguchi Technique. 12. Working with MATLAB for Optimization using Artificial Neural Network. 13. Working with MATLAB for Optimization using Genetic Algorithm.
This book series focuses on special volumes from conferences, workshops, and symposiums, as well as volumes on topics of current interested in all aspects of science, technology, and management. The series will discuss topics such as, mathematics, chemistry, physics, materials science, nanosciences, sustainability science, computational sciences, mechanical engineering, industrial engineering, manufacturing engineering, mechatronics engineering, electrical engineering, systems engineering, biomedical engineering, management sciences, economical science, human resource management, social sciences, engineering education, etc. The books will present principles, models techniques, methodologies, and applications of science, technology and management.