Advanced Intelligence Methods for Data Science and Optimization

Amir Hossein Gandomi, Seyedali Mirjalili, Levente Kovacs

• Publisher: Morgan Kaufmann
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9780443289415
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains.It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more. - Provides comprehensive coverage of advanced intelligence methods - Includes real-world examples and case studies that illustrate the application of these methods across a wide range of fields - Begins with an introduction to Deep Learning concepts and quickly moves to the most leading-edge topics in computational intelligence, all with an application to data science techniques

Table of contents

• Title of Book
• Chapter 1. Evaluating hyper-parameter optimization techniques for SpanBERT-based named entity recognition in construction supply chain risk management
• Chapter 2. Improving damage detection accuracy through wavelet analysis and hybrid machine learning models
• Chapter 3. A multiobjective Artificial Gorilla Troops Optimizer for engineering problems
• Chapter 4. SPO-ANN for predicting the compressive strength of concrete confined with CFRP using tube and wrap confinement types
• Chapter 5. Quadratic interpolation optimization for optimizing truss structures using composite materials under natural frequency constraints
• Chapter 6. Binary Stochastic Paint Optimizer for feature selection problems with S-shaped transfer function
• Chapter 7. Prediction of compressive strength of ultra-high-performance concrete with efficient training of ANN using four metaheuristic algorithms
• Chapter 8. Fuzzy logic applications in enhancing system safety and reliability: A brief analysis
• Chapter 9. A review on computational intelligence–based recommender systems: Recent progress, applications, challenges, and new future research avenues
• Chapter 10. Multi-objective design optimization of point absorber wave energy converters
• Chapter 11. Hybrid intelligence for breast cancer biomarker discovery
• Chapter 12. A bibliometric analysis of adversarial attacks and countermeasures in AI/ML cybersecurity
• Chapter 13. Gene structures in genetic programming: A taxonomic and functional survey
• Chapter 14. Convolutional neural network ensembles for improving plant leaf disease severity estimation
• Chapter 15. Leveraging ontology engineering for enhanced big data science
• Chapter 16. Strength prediction of concrete materials with fly ash additive using optimized TSK model
• Chapter 17. Artificial intelligence applications for earthquake and tsunami damage assessment: An overview
• Chapter 18. Intersection of chaos theory and artificial intelligence: Concepts, enhancements, and future directions
• Chapter 19. Integrating artificial intelligence and generative AI in structural engineering: A survey of methods and applications
• Chapter 20. An introduction to essential methods for uncertainty quantification in neural networks
• Chapter 21. Equivariance and symmetry behind neural networks
• Index