A bat-inspired algorithm for structural optimization

Authors:
O. Hasançebi;T. Teke;O. Pekcan
Affiliations:
-;-;-
Venue:
Computers and Structures
Year:
2013

Citing 5
Cited 1

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Numerical Optimization of Computer Models

Numerical Optimization of Computer Models
Adaptive evolution strategies in structural optimization: Enhancing their computational performance with applications to large-scale structures

Computers and Structures
Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures

Computers and Structures
Bat algorithm for multi-objective optimisation

International Journal of Bio-Inspired Computation

Bat inspired algorithm for discrete size optimization of steel frames

Advances in Engineering Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bat-inspired (BI) search is a recently developed numerical optimization technique that makes use of echolocation behavior of bats in seeking a design space. This study intends to explore capabilities and potentials of this newly developed method in the realm of structural optimization. A novel algorithm is developed that employs basic principles of this method for structural optimization problems specifically. Performance of the proposed algorithm is measured using one benchmark as well as three practical truss structures that are sized for minimum weight subject to stress, stability and displacement constraints according to American Institute of Steel Construction-Allowable Stress Design (AISC-ASD) specification. The numerical results demonstrate efficiency of the proposed algorithm in practical structural optimization.