Advanced Engineering Optimization Through Intelligent Techniques : Select Proceedings of the 5th International Conference—AEOTIT 2024 / / edited by Ravipudi Venkata Rao, Jan Taler, Dawid Taler

• Autore: Rao Ravipudi Venkata
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (742 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Automatic control; Robotics; Automation; Computational Intelligence; Artificial Intelligence; Control, Robotics, Automation
• Altri autori: TalerJan TalerDawid
• Nota di contenuto: Topology optimization method for the design of heat sink -- Optimization of a PCM filled polycarbonate sheet solar water heating system using the Taguchi method for enhanced thermal efficiency -- An OPDE algorithm for parameter estimation in nonlinear thermodynamic models for VLE systems -- Fused deposition modeling process optimization using two simple advanced methods -- Hybrid LSTM-VAR-EVT framework for predicting interstate rainfall patterns -- Optimizing hybrid power systems with large-scale storage for improving voltage security and economic operation -- Optimum design of steel space truss roofs with BMR and BWR Algorithms -- Forecasting energy demand in gujarat, india - a comparative analysis of sarima and facebook prophet models -- AI in manufacturing optimization and generative AI perspectives -- Failure investigation & parametric optimization of U shape metal bellow expansion joint -- Multi-objective optimization of Hastelloy-X turning using TOPSIS under dry, wet, and cryogenic environment -- Optimization of nurses allocation using genetic algorithm in healthcare sector -- Multi-attributes inventory management policy for a pump manufacturing industry using modified Pythagorean fuzzy TODIM approach -- Efficient parallel drone scheduling traveling salesman problem solver using artificial bee colony algorithm with local optimization (2-opt).
• Sommario/riassunto: 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.
• Titolo autorizzato: Advanced Engineering Optimization Through Intelligent Techniques
• ISBN: 9789819680702; 9789819680696
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911047826803321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 1438