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

Published: Jan. 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.

Language: Английский

Multi-objective Routing Optimization of the Traveling Salesman Problem Using Feasibility-Enhanced Particle Swarm Optimization Algorithm DOI
Salar Farahmand‐Tabar, Parastoo Afrasyabi

Published: Jan. 1, 2025

Language: Английский

Citations

0

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

et al.

Published: Jan. 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

Language: Английский

Citations

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

Published: Jan. 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.

Language: Английский

Citations

7

Seismic fragility assessment of the innovative and optimal box-shaped dampers in steel frame structures DOI
Kian Aghani, Salar Farahmand‐Tabar

Soil Dynamics and Earthquake Engineering, Journal Year: 2024, Volume and Issue: 180, P. 108623 - 108623

Published: March 30, 2024

Language: Английский

Citations

1

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

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

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

Published: Jan. 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.

Language: Английский

Citations

0