Hybrid Computational Intelligence

This book is a synergistic integration of hybrid computational intelligent techniques applied to engineering problems. It provides an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with case studies with focus on quantum inspired hybrid intelligence to develop intelligent solutions for the future.

1 Nature-Inspired Algorithms: A Comprehensive Review. Essam H. Houssein, Mina Younan, and Aboul Ella Hassanie. 2 Hybrid Cartesian Genetic Programming Algorithms: A Review. Johnathan Melo Neto, Heder S. Bernardino, and Helio J.C. Barbosa. 3 Tuberculosis Detection from Conventional Sputum Smear Microscopic Images Using Machine Learning Techniques. Rani Oomman Panicker, Biju Soman, and M.K. Sabu. 4 Privacy towards GIS Based Intelligent Tourism Recommender System in Big Data Analytics. Abhaya Kumar Sahoo, Chittaranjan Pradhan, and Siddhartha Bhattacharyya. 5 Application of Artificial Neural Network: A Case Study of Biomedical Alloy.Amit Aherwar and Amar Patnaik. 6 Laws Energy Measure Based on Local Patterns for Texture Classification. Sonali Dash and Manas R. Senapati. 7 Analysis of BSE Sensex Using Statistical and Computational Tools. Soumya Chatterjee and Indranil Mukherjee. 8 Automatic Sheep Age Estimation Based on Active Contours without Edges. Aya Abdelhady, Aboul Ella Hassanien, and Aly Fahmy. 9 Diversity Matrix Based Performance Improvement for Ensemble Learning Approach.Rajdeep Chatterjee, Siddhartha Chatterjee, Ankita Datta, and Debarshi Kumar Sanyal.