Part I Optimization using traditional techniques (4 Chapters)

Use of traditional design of experiments techniques such as full factorial design, Taguchi, response surface methodology and mixed model design to optimize the various traditional and non-traditional manufacturing and machining processes.

Part II Multi-criteria decision making through soft computing and evolutionary techniques (4 Chapters)

This part of the book will cover multiobjective optimizations using soft computing techniques such as artificial neural network (ANN) and fuzzy logic, artificial intelligence (AI) based genetic algorithms (GA), PSO (Particle swarm optimization), GRA (Grey relational analyses), TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and Hybrid methods.