Abstract
In this paper, key constituents of computational intelligence (CI) are discussed and how different classes come under the paradigm of CI. The very need and importance of CI in the problem solving of different social fabrics of life is comprehensively elaborated in this article and is concluded that CI in turn depicts the nature's supremacy of being the ultimate intelligent optimizer for human made solutions. This concept has become more highlighted due to the discussion about the emergence of computational intelligence from electronics to communication, from signal processing to pattern recognition and from microprocessor design to stochastic system. Wireless Sensor Network is taken as a target domain to implement the computational intelligence for the optimization of different factors involved in energy aware routing. Comparative analysis of different classes in CI paradigm is done to find the most appropriate class for optimization of Clustering design and data aggregation techniques. This analytical survey article can prove as a guiding light for the future researcher to delve into more detail of CI and finding the optimal solution in different social fabric of life. It is concluded that this nature inspired paradigm has the key role for moving to the "optimized solutions" for almost every field of life.