Ứng dụng thuật toán RDMO trong thiết kế đa mục tiêu của giàn thép DOI
Trung Tran,

Việt Hùng Trương

Vietnam Institute for Building Science and Technology, Journal Year: 2025, Volume and Issue: 2025(vi.vol1), P. 45 - 52

Published: March 1, 2025

This paper introduces a multi-objective optimization approach for planar steel truss structures, employing the RDMO algorithm-a hybrid of Rao-1 algorithm and differential evolution (DE). The study focuses on two primary objectives: minimizing total weight reducing lateral displacement at apex, with design variables defined as cross-sectional areas members within specified range. Direct analysis is implemented to accurately simulate nonlinear behavior structure evaluate its maximum load-bearing capacity under realistic conditions. A 10-bar selected case illustration. results demonstrate that effectively eliminates complex control parameters while achieving balanced trade-off between convergence speed, high accuracy, solution diversity. By enhancing mutation strategy non-dominated sorting crowding distance techniques, exhibits superior performance in improving design, offering significant potential widespread applications modern civil engineering.

Language: Английский

Ứng dụng thuật toán RDMO trong thiết kế đa mục tiêu của giàn thép DOI
Trung Tran,

Việt Hùng Trương

Vietnam Institute for Building Science and Technology, Journal Year: 2025, Volume and Issue: 2025(vi.vol1), P. 45 - 52

Published: March 1, 2025

This paper introduces a multi-objective optimization approach for planar steel truss structures, employing the RDMO algorithm-a hybrid of Rao-1 algorithm and differential evolution (DE). The study focuses on two primary objectives: minimizing total weight reducing lateral displacement at apex, with design variables defined as cross-sectional areas members within specified range. Direct analysis is implemented to accurately simulate nonlinear behavior structure evaluate its maximum load-bearing capacity under realistic conditions. A 10-bar selected case illustration. results demonstrate that effectively eliminates complex control parameters while achieving balanced trade-off between convergence speed, high accuracy, solution diversity. By enhancing mutation strategy non-dominated sorting crowding distance techniques, exhibits superior performance in improving design, offering significant potential widespread applications modern civil engineering.

Language: Английский

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