Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
Toktas, Abdurrahim; Ustun, Deniz; Carbas, Serdar
Springer Verlag, Singapore
04/2022
404
Mole
Inglês
9789813367753
15 a 20 dias
652
Descrição não disponível.
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.
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Nature-Inspired Optimization Algorithms;Metaheuristics;Design Optimization;Discrete And Combinatorial Optimization;Engineering Design
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
