Fr. 357.00

Advanced Engineering Optimization Through Intelligent Techniques - Select Proceedings of the 5th International Conference-AEOTIT 2024

English · Hardback

Will be released 27.08.2025

Description

Read more

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.

List of contents

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).

Product details

Assisted by Ravipudi Venkata Rao (Editor), Dawid Taler (Editor), Jan Taler (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Release 27.08.2025
 
EAN 9789819680696
ISBN 978-981-9680-69-6
No. of pages 500
Illustrations Approx. 500 p. 100 illus., 50 illus. in color.
Series Lecture Notes in Electrical Engineering

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.