Nature Inspired Computing Blooms Taxonomy Questions

UNIT – I: Evolutionary Computing

  • Problem Solving as a Search Task
  • Hill Climbing and Simulated Annealing
  • Evolutionary Biology – Biological Foundations
  • Evolutionary Computing – Core Concepts
  • The Other Main Evolutionary Algorithms
    • Genetic Algorithms (GA)
    • Genetic Programming (GP)
    • Evolution Strategies (ES)
    • Differential Evolution (DE)
  • From Evolutionary Biology to Computing – Inspiration and Mapping
  • Scope of Evolutionary Computing
    • Optimization
    • Machine Learning
    • Design Automation
    • Game AI
    • Robotics

UNIT – II: Neurocomputing

  • The Nervous System – Biological Basis
  • Artificial Neural Networks (ANNs) – Overview and Structure
  • Typical ANNs and Learning Algorithms
    • Perceptron, MLP, Backpropagation
    • Self-Organizing Maps (SOM)
    • Radial Basis Function (RBF) Networks
    • Recurrent Neural Networks (RNN)
  • From Natural to Artificial Neural Networks – Abstraction and Modeling
  • Scope of Neurocomputing
    • Pattern Recognition
    • Forecasting and Control
    • Computer Vision
    • Natural Language Processing
    • Deep Learning Foundations

UNIT – III: Swarm Intelligence

  • Ant Colonies – Foraging Behavior and Algorithms (ACO)
  • Swarm Robotics – Decentralized Coordination and Applications
  • Social Adaptation of Knowledge
    • Particle Swarm Optimization (PSO)
    • Bee Colony Optimization
    • Firefly Algorithm
    • Applications in Optimization, Scheduling, and Routing

UNIT – IV: Immunocomputing

  • The Immune System – Biological Principles
  • Artificial Immune Systems (AIS) – Overview
  • Bone Marrow Models – Generation of Antibodies
  • Negative Selection Algorithms – Anomaly Detection
  • Clonal Selection and Affinity Maturation – Learning and Optimization
  • Artificial Immune Networks – Immune Network Theory in Computing
  • From Natural to Artificial Immune Systems – Computational Abstraction
  • Scope of Artificial Immune Systems
    • Intrusion Detection
    • Fault Tolerance
    • Bioinformatics
    • Optimization and Classification

UNIT – V: Case Studies

  • Bioinformatics

    • Gene Expression Analysis
    • Protein Structure Prediction
    • Sequence Alignment using Evolutionary/Immune Algorithms
    • Neural Networks in Genomic Data Mining
  • Information Display

    • Visualization using Swarm-based Layouts
    • Immune-inspired Anomaly Highlighting
    • Neural Network-driven Adaptive Interfaces
    • Evolutionary Design of Dashboards and User Interfaces