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Advanced Engineering Optimization Through Intelligent Techniques

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Advanced Engineering Optimization Through Intelligent Techniques Synopsis

This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teaching-learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.

About This Edition

ISBN: 9789811992841
Publication date: 8th April 2023
Author: International Conference on Advanced Engineering Optimization Through Intelligent Techniques
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 573 pages
Series: Lecture Notes in Mechanical Engineering
Genres: Artificial intelligence
Automatic control engineering