Nature Inspired Computing for Data Science

Chapter 1 An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO Based Optimized Neural Network

Chapter 2 Mid-Term Home Health Care Planning Problem with Flexible Departing Way for Caregivers

Chapter 3 Performance Analysis of NASNet on Unconstrained Ear Recognition

Chapter 4 Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence

Chapter 5 Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data

Chapter 7 Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas—A Case Study in San Miguelito, Honduras

Chapter 8 Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making

Chapter 9 Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-objective Particle Swarm Optimization

Chapter 10 Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study

Chapter 11 An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction