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Chapter 2: Data with random noise and its modeling
Chapter 3: Nature inspired non-calculus optimization
Chapter 4: Single-objective evolutionary algorithms
Chapter 5: Multi-objective evolutionary optimization Chapter 6: Evolutionary learning and optimization using Neural Net paradigm
Chapter 7: Evolutionary learning and optimization using Genetic Programming paradigm Chapter 8: The challenge of big data and Evolutionary Deep Learning
Chapter 9: Software available in public domain and the commercial software
Chapter 10: Applications in Iron and Steel making
Chapter 11: Applications in chemical and metallurgical unit processing
Chapter 12: Applications in Materials Design
Chapter 13: Applications in Atomistic Materials Design
Chapter 14: Applications in Manufacturing
Chapter 15: Miscellaneous Applications",
Genetic Programming entries for Nirupam Chakraborti