In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

Abstract Chaos Game Optimization Algorithm (CGO) is a novel advancement in
metaheuristic optimization inspired by chaos theory. It addresses complex optimization …

Incomplete data poses challenges in accurately assessing structural health and detecting
damage. It limits the ability to capture the complete behavior and response of the structure …

The simultaneous identification of damage in both structural joints and members is indeed a
crucial and challenging task due to the complex interactions between these components …

The efficiency in high-dimension optimization, premature convergence and noise
robustness are common challenges that restrict the application of swarm-based algorithms …

Optimization-based methods are increasingly being implemented for structural damage
detection (SDD) problems through the minimization of the objective functions based on …

This study presents a robot-assisted solution for the automated identification of bridge
frequencies and high-spatial-resolution mode shapes using a minimal number of sensors …

Optimization challenges effectively mirror numerous complex real‐world problems. These
are typically addressed using two methodologies: approximate methods and exact methods …

Dams are among the most important civil engineering structures, but they are also
susceptible to damage that can endanger their stability and functionality. It is therefore …

Chaos Optimization Algorithms (COAs) have emerged as a potent global optimization
technique, exhibiting remarkable capabilities in tackling complex optimization challenges. In …