Introduction
Many engineering systems, science, financial, business and economics suffer from a problem of developing a system that can cope with variations of system or control parameters, measurements uncertainty and complex multi-objective optimization criterion. The need for a priori knowledge and the inability to learn from past experience make the design of robust, adaptive and stable systems a difficult task. Currently, researches on energy resources are found to be a great important issue for future alternative replacement of oil, particularly in vehicles and transportation. Computational Intelligence has been proven to have successful solution of complex optimization problems by fuzzy logic, neural Network, Evolutionary Algorithms, Genetic with line or pattern search, Particle Swam Optimization, Ant Colony Optimization and Hybrid System Optimization in variety of engineering, science, business, finance, economics, management and hybrid energy resources applications. They include system identification, parameter estimation, multi-objective optimization, robust solution, adaptive system, self organization and failure analysis. The goal of these publications is to bring together researchers working on the development of techniques and methodologies to improve the performance of power systems, energy planning and environments, controllers and robotics, operation research, and modern artificial computational intelligent techniques. The scope of the book chapters is contemporary and original research and educational development in the areas of electrical power engineering, control systems and methods of optimization.

Objective of the Book
This book will aim to provide relevant theoretical frameworks and the latest empirical research findings in these areas. It will be written for professionals who want to improve their understanding of the strategic role in the area of power, control and optimization.

Target Audience
The target audience of this book will be composed of professionals and researchers working in the field of power, control and optimization in various disciplines, e.g. energy, power systems and control systems, power quality and economics dispatch, smart systems, soft computing, and intelligent technology. Moreover, the book will provide insights and support executives concerned with the energy, power systems, control systems and hybrid optimization techniques different types of engineering, science and economics applications.

Recommended topics include, but are not limited to, the following: