Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Advanced Engineering Optimization Through Intelligent Techniques. To get started finding Advanced Engineering Optimization Through Intelligent Techniques, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
548
Format
PDF, EPUB & Kindle Edition
Publisher
Springer Nature
Release
2025
ISBN
Qgiy299Ye
Advanced Engineering Optimization Through Intelligent Techniques
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Advanced Engineering Optimization Through Intelligent Techniques. To get started finding Advanced Engineering Optimization Through Intelligent Techniques, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.