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MATLAB which is a high-performance language for technical computing is an excellent integration of computation, visualization, and natural programming syntax. Its user-friendly environment makes it highly usable among students and researchers working in different areas of academic persona. This book is specially designed for students and researchers who want a real understanding of Matlab and Computational Intelligence using Matlab Programming. The main features of this book are - It presents basic elements that need to be understood to become a programmer in Matlab, - It addresses various…mehr

Produktbeschreibung
MATLAB which is a high-performance language for technical computing is an excellent integration of computation, visualization, and natural programming syntax. Its user-friendly environment makes it highly usable among students and researchers working in different areas of academic persona. This book is specially designed for students and researchers who want a real understanding of Matlab and Computational Intelligence using Matlab Programming. The main features of this book are - It presents basic elements that need to be understood to become a programmer in Matlab, - It addresses various Matlab programming syntax using user-friendly examples, - It focuses on graph plotting and visualization in Matlab in a way that is easy to understand and implement and - It discusses in details two Computational algorithms - Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in detail. Both algorithms are first discussed and then implemented so that user actually knows how to apply GA and PSO to their research problems. The matter for this book was primarily collected from the authors several years of work in Matlab, GA, and PSO. The book contains numerous solved examples.
Autorenporträt
Mr. Mukesh Mann is an Assistant Professor in the Department of Computer Science and Engineering, School of Engineering & Technology, BML Munjal University, Gurugram, India. He is a recipient of UGC-JRF Award -2014, CSIR-SRF Award-2014 and UGC-SRF Award-2016. His areas of research are Computational Intelligence and Software Engineering.