Select Proceedings of the 4th International Conference—AEOTIT 2023 Venkata Rao, Ravipudi. editor. edt http://id.loc.gov/vocabulary/relators/edt Taler, Jan. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XV, 597 p. 227 illus., 193 illus. in color. online resource. This book comprises peer-reviewed papers presented at the 4th International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2023. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, 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, particle swarm optimization, gravitational search algorithm, ant lion optimization, dragonfly algorithm, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, many other latest meta-heuristic techniques, machine learning algorithms, and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, PROMETHEE, desirability function, SWARA, R-method, BHARAT method, Taguchi 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. . edited by Ravipudi Venkata Rao, Jan Taler. Computational intelligence Artificial intelligence Control engineering Robotics Automation Computational Intelligence Artificial Intelligence Control, Robotics, Automation Q342 9789819746545 https://doi.org/10.1007/978-981-97-4654-5 https://doi.org/10.1007/978-981-97-4654-5 241015 20251030113144.0 978-981-97-4654-5