Steel Plate Fault Detection Using the Fitness-Dependent Optimizer and Neural Networks DOI
Salar Farahmand‐Tabar, Tarik A. Rashid

Опубликована: Янв. 1, 2024

Язык: Английский

Dynamic Intelligence of Self-Organized Map in the Frequency-Based Optimum Design of Structures DOI
Salar Farahmand‐Tabar, Payam Ashtari, Mehdi Babaei

и другие.

Опубликована: Янв. 1, 2023

By leveraging the capabilities of machine intelligence, metaheuristics can be enhanced to achieve improved performance and convergence. This chapter presents an investigation into dynamic scenarios for utilizing intelligence in metaheuristics, focusing on their application optimization problems. The main contribution this research lies proposal evaluation five distinct methods within (DI) using learning (ML) cross-entropy (CE) framework. These include ML cooperation full or fixed number iterations, adaptive usage, performance-based decision-making, randomized usage. Through extensive experimentation, DICE framework is applied solve various benchmark truss problems involving frequency constraints size/shape variables. Prototypes such as 10-bar planner truss, 72-bar space 120-bar dome, 37-bar bridge, 52-bar dome are considered. Comparative evaluations against competing techniques conducted assess effectiveness efficiency proposed methods. findings indicate fast optimum

Язык: Английский

Процитировано

7
Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections DOI
Salar Farahmand‐Tabar, Payam Ashtari

Опубликована: Янв. 1, 2023

An improved bilinear fuzzy genetic algorithm (BFGA) is introduced in this chapter for the design optimization of steel structures with semi-rigid connections. Semi-rigid connections provide a compromise between stiffness fully rigid and flexibility pinned However, designing such challenging due to nonlinear behavior The BFGA robust method that combines strengths logic handle complexity uncertainties structural problems. BFGA, compared standard GA, demonstrated generate high-quality solutions reasonable time. application through connections, considering weight performance criteria. results show proposed capable finding optimal designs satisfy all requirements constraints. approach provides promising solution complex behavior.

Язык: Английский

Процитировано

7
Enhancing efficiency in PCB assembly for the leading global electronics manufacturing services firm: a TRIZ and Ant Colony Optimization approach DOI
Chia–Nan Wang, Nhat‐Luong Nhieu,

Tien-Anh Pham Viet

и другие.

The International Journal of Advanced Manufacturing Technology, Год журнала: 2024, Номер 133(11-12), С. 5529 - 5552

Опубликована: Июль 4, 2024

Язык: Английский

Процитировано

1
Overcoming Constraints: The Critical Role of Penalty Functions as Constraint-Handling Methods in Structural Optimization DOI
Salar Farahmand‐Tabar,

Nikan Sadrekarimi

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1
Dynamic Intelligence of Self-Organized Map in the Frequency-Based Optimum Design of Structures DOI
Salar Farahmand‐Tabar, Payam Ashtari, Mehdi Babaei

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0
Positron-Enabled Atomic Orbital Search Algorithm for Improved Reliability-Based Design Optimization DOI
Salar Farahmand‐Tabar, Sina Shirgir

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0
Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections DOI
Salar Farahmand‐Tabar, Payam Ashtari

Опубликована: Янв. 1, 2024

An improved bilinear fuzzy genetic algorithm (BFGA) is introduced in this chapter for the design optimization of steel structures with semi-rigid connections. Semi-rigid connections provide a compromise between stiffness fully rigid and flexibility pinned However, designing such challenging due to nonlinear behavior The BFGA robust method that combines strengths logic handle complexity uncertainties structural problems. BFGA, compared standard GA, demonstrated generate high-quality solutions reasonable time. application through semirigid connections, considering weight performance criteria. results show proposed capable finding optimal designs satisfy all requirements constraints. approach provides promising solution complex behavior.

Язык: Английский

Процитировано

0
Incorporating Nelder-Mead Simplex as an Accelerating Operator to Improve the Performance of Metaheuristics in Nonlinear System Identification DOI
Salar Farahmand‐Tabar, Sina Shirgir

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0
Synergistic Collaboration of Motion-Based Metaheuristics for the Strength Prediction of Cement-Based Mortar Materials Using TSK Model DOI
Salar Farahmand‐Tabar, Sina Shirgir

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0
Steel Plate Fault Detection Using the Fitness-Dependent Optimizer and Neural Networks DOI
Salar Farahmand‐Tabar, Tarik A. Rashid

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0