Application of Optimization and Intelligent System on Inter-disciplinary Engineering

In this book we have shown application of Intelligent Systems and Optimization techniques in the field of interdisciplinary engineering. In the 1st chapter we have described the use of IS namely S-system for the inference of Gene Regulatory Network (GRN) from time series microarray data in the field of computational biology and bioinformatics. In the 2nd chapter we have used a recently proposed optimization technique namely Elephant Swarm Water Search Algorithm (ESWSA) for the efficient Modeling for prediction and optimizing the parameters of grinding processes which is a typical problem of mechanical engineering. In the 3rd chapter we have used a hybrid AI technique with the help of Decision Tree & parametric optimization by Genetic Algorithm in Diabetes prediction in the field of biomedical field by proper analysis of small & large disjuncts present in medical datasets. In chapter 4 we have used a hybrid cuckoo search optimization (CSO) & particle swarm optimization (PSO) technique in the field of renewable energy. In chapter 5 a hybrid optimization technique used by two evolutionary algorithm: Genetic algorithm & Particle swarm optimization in the field of Mechatronics.