E-Book, Englisch, 404 Seiten, eBook
Carbas / Toktas / Ustun Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
1. Auflage 2021
ISBN: 978-981-336-773-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 404 Seiten, eBook
Reihe: Springer Tracts in Nature-Inspired Computing
ISBN: 978-981-336-773-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Introduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications.- PART 1: Civil and Structural Engineering.- Harmony Search Algorithm for Structural Engineering Problems.- Teaching Learning Based Optimum Design of Transmission Tower Structures.- Modified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures.- Electrostatic Discharge Algorithm for Optimum Design of Real Size Truss Structures.- Solving of Distinct Engineering Optimization Problems using Metaheuristic Algorithms.- The Design of Trapezoidal Corrugated Web Beams using Firefly Method.- Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction using Grasshopper Optimization Algorithm; A Case Study of Tabriz, Iran.- Optimization and Artificial Neural Network Models for Reinforced Concrete Members.- Statistical Investigation of the Robustness for the Optimization Algorithms.- Optimum Design of Beams with Varying Cross-Section by Using Application Interface.- Metaheuristic-based Structural Control Methods and Comparison of Applications.- Evolutionary Structural Optimization – A Trial Review.- An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications.- PART 2: Electrical and Electronics, Computer, and Communication Engineering.- Artificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communication.- Multi-objective Design of Multilayer Microwave Dielectric Filters using Artificial Bee Colony Algorithm.- Multi-objective Sparse Signal Reconstruction in Compressed Sensing.- Optimal Allocation of Flexible Alternative Current Transmission Systems: An Application of Particle Swarm Optimization.