The book provides a platform for dealing with the flaws and failings of the soft computing
paradigm through different manifestations. The different chapters highlight the necessity of
the hybrid soft computing methodology in general with emphasis on several application
perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by
Various Hybrid Optimization Techniques (b) An Application of Color Magnetic Resonance Brain
Image Segmentation by Para Optimus LG Activation Function (c) Hybrid Rough-PSO Approach in
Remote Sensing Imagery Analysis (d) A Study and Analysis of Hybrid Intelligent Techniques for
Breast Cancer Detection using Breast Thermograms and (e) Hybridization of 2D-3D Images for
Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the
hybrid soft computing paradigm in the field of intelligent computing.
