Advances in Intelligent Computing

This edited volume on computational intelligence algorithms-based applications includes work presented at the International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017). It provides the latest research findings on the significance of computational intelligence and related application areas. It also introduces various computation platforms involving evolutionary algorithms, fuzzy logic, swarm intelligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications.

Table of Contents

Chapter 1 Linear Programming-Based Topsis Method For Solving Madm Problems With Three Parameter Ivifns
Chapter 2 A Comparative Study Of Bio-Inspired Algorithms For Medical Image Registration
Chapter 3 Different Length Genetic Algorithm-Based Clustering Of Indian Stocks For Portfolio Optimization
Chapter 4 An Evolutionary Matrix Factorization Approach For Missing Value Prediction
Chapter 5 Differential Evolution In Pfcm Clustering For Energy Efficient Cooperative Spectrum Sensing
Chapter 6 Feature Selection For Handwritten Word Recognition Using Memetic Algorithm
Chapter 7 A Column-Wise Distance-Based Approach For Clustering Of Gene Expression Data With Detection Of Functionally Inactive Genes And Noise
Chapter 8 Detection Of Moving Objects In Video Using Block-Based Approach