You might also like

More about Advanced Engineering Optimization Through Intelligent Techniques

• Book details
• Synopsis
• Trending among others

You get 697 loyalty points

Book synopsis

This book comprises peer-reviewed papers presented at the 5th International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2024. It combines contributions from academics and industry professionals, covering advanced optimization techniques across major engineering disciplines. The book discusses various optimization techniques and algorithms such as genetic algorithms, particle swarm optimization, differential evolution, whale optimization algorithm, artificial bee colony algorithm, arithmetic optimization algorithm, beat-worst-random and best-mean-random algorithms, teaching learning-based optimization algorithm, gray wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques. It also explores several machine learning algorithms and their applications. Additionally, the book explores various multi-attribute decision-making methods such as AHP, TOPSIS, PROMETHEE, dominance-relations based method, Taguchi method, fuzzy logic, and their applications. This book serves as a valuable reference for students, researchers, and practitioners, helping them solve a wide range of optimization problems.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Advanced Engineering Optimization Through Intelligent Techniques
• Subtitle: Select Proceedings of the 5th International Conference-AEOTIT 2024
• Author: Ravipudi Venkata Rao, Jan Taler, Dawid Taler
• Language: English
• Binding: Hardback
• Number of pages: 500
• EAN: 9789819680696
• ID: 48688441
• Publisher: Springer, Berlin
• Weight: 1056 g
• Dimensions: 235 × 155 mm
• Published: 2025

Trending among others

---

---

---