Advances in Nature and Biologically Inspired Computing

Chapter 1 A Diverse Meta Learning Ensemble Technique to Handle Imbalanced Microarray Dataset

Chapter 2 A Self-configuring Multi-strategy Multimodal Genetic Algorithm

Chapter 3 An Ensemble of Neuro-Fuzzy Model for Assessing Risk in Cloud Computing Environment

Chapter 4 k-MM: A Hybrid Clustering Algorithm Based on k-Means and k-Medoids

Chapter 5 A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

Chapter 6 Cooperation Evolution in Structured Populations by Using Discrete PSO Algorithm

Chapter 7 Memetic and Opposition-Based Learning Genetic Algorithms for Sorting Unsigned Genomes by Translocations

Chapter 8 Aesthetic Differential Evolution Algorithm for Solving Computationally Expensive Optimization Problems

Chapter 9 Automatic Discovery and Recommendation for Telecommunication Package Using Particle Swarm Optimization

Chapter 10 EEG Signals of Motor Imagery Classification Using Adaptive Neuro-Fuzzy Inference System

Chapter 11 Modeling Insurance Fraud Detection Using Imbalanced Data Classification

Chapter 12 Using Standard Components in Evolutionary Robotics to Produce an Inexpensive Robot Arm

Chapter 13 Sinuosity Coefficients for Leaf Shape Characterisation

Chapter 14 A Study of Genetic Programming and Grammatical Evolution for Automatic Object-Oriented Programming: A Focus on the List Data Structure

Chapter 15 Evolving Heuristic Based Game Playing Strategies for Checkers Incorporating Reinforcement Learning

Chapter 16 PARA-Antibodies: An Immunological Model for Clonal Expansion Based on Bacteriophages and Plasmids

Chapter 17 Bioinspired Tabu Search for Geographic Partitioning

Chapter 18 A Hyper-Heuristic Approach to Solving the Ski-Lodge Problem

Chapter 19 Real-Time Vehicle Emission Monitoring and Location Tracking Framework

Chapter 20 Applying Design Science Research to Design and Evaluate Real-Time Road Traffic State Estimation Framework

Chapter 21 Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning

Chapter 22 A Variable Neighbourhood Search for the Workforce Scheduling and Routing Problem

Chapter 23 Modelling Image Processing with Discrete First-Order Swarms

Chapter 24 Training Pattern Classifiers with Physiological Cepstral Features to Recognise Human Emotion

Chapter 25 Identification of Pathogenic Viruses Using Genomic Cepstral Coefficients with Radial Basis Function Neural Network

Chapter 26 An Aphid Inspired Evolutionary Algorithm

Chapter 27 A Neural Network Model for Road Traffic Flow Estimation

Chapter 28 Optimization of a Static VAR Compensation Parameters Using PBIL

Chapter 29 ImmunoOptiDrone—Towards Re-Factoring an Evolutionary Drone Control Model for Use in Immunological Optimization Problems

Chapter 30 A Generative Hyper-Heuristic for Deriving Heuristics for Classical Artificial Intelligence Problems

Chapter 31 A Priority Rate-Based Routing Protocol for Wireless Multimedia Sensor Networks

Chapter 32 Newcastle Disease Virus Clustering Based on Swarm Rapid Centroid Estimation

Chapter 33 Design of Nature Inspired Broadband Microstrip Patch Antenna for Satellite Communication

Chapter 34 Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization

Chapter 35 Updating the Global Best and Archive Solutions of the Dynamic Vector-Evaluated PSO Algorithm Using \(\epsilon \) -dominance

Chapter 36 Detection of Zero Day Exploits Using Real-Time Social Media Streams

Chapter 37 Profile Matching Across Online Social Networks Based on Geo-Tags

Chapter 38 Detection of Criminally Convicted Email Users by Behavioral Dissimilarity

Chapter 39 Cognitive Radio Networks: A Social Network Perspective