ABSTRACT

This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background of soft computing and how to adapt soft computing techniques to problem solving in physical and chemical research. Soft computing methods have been little explored by researchers in physical and chemical sciences primarily because of the absence of books that bridge the gap between the traditional computing paradigm pursued by researchers in science and the new soft computing paradigm that has emerged in computer science. This book is the interface between these primary sources and researchers in physics and chemistry.

chapter 1|8 pages

A New Computing Paradigm

chapter 2|44 pages

Genetic Algorithms

chapter 3|18 pages

Evolutionary Computing

chapter 5|26 pages

Swarm Intelligence

chapter 6|60 pages

Application of Soft Computing in Physics

chapter 7|54 pages

Soft Computing in Chemistry

chapter 8|54 pages

Artificial Neural Networks

chapter 9|56 pages

Fuzzy Systems

chapter 10|46 pages

Quantum and Soft Computing