Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is
introduced. The enhanced version is interesting and complementary in terms of the direction …

The arithmetic optimization algorithm (AOA) is a newly developed metaheuristic search
technique that simulates the distribution characteristics of the basic arithmetic operations of …

Selection methods have an important role in the meta-heuristic search (MHS) process.
However, apart from a few successful methods developed in the past, new and effective …

Meta-heuristic algorithms play an important role in the optimization field thanks to their
robustness and programming simplicity. Many meta-heuristic methods have been devised in …

The optimization of truss structures is a complex computing problem with many local minima,
while metaheuristics are naturally suited to deal with multimodal problems without the need …

Structural damage identification has been researched for a long time and continues to be an
active research topic. This paper proposes the use of the natural frequencies of a novel …

This paper presents the improved version of the Lévy Flight Distribution (LFD) algorithm for
solving real-valued numerical optimization problems. In the proposed algorithm, the Fitness …

In this paper a new and efficient metaheuristic algorithm is proposed for discrete
performance-based seismic design optimization of steel moment frames. The proposed …

This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve
engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed …