This study introduces a novel population-based metaheuristic algorithm called secretary bird
optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their …

This study presents a powerful and new modeling variant of bio-inspired algorithms, namely,
the Ivy algorithm (IVYA), drawn from the growth patterns of Ivy plants. The algorithm …

Abstract Structural Damage Identification (SDI) is a crucial branch in the field of structural
health monitoring, providing an essential support for the safe operation of structures. In this …

Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …

Metaheuristic optimization algorithms are known for their versatility and adaptability, making
them effective tools for solving a wide range of complex optimization problems. They don't …

Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …

In this paper, a new meta-heuristic optimization algorithm motivated by the foraging
behaviour of blood-sucking leeches in rice fields is presented, named Blood-Sucking Leech …

Particle swarm optimization (PSO) is one of the most classical metaheuristic algorithms that
has gained significant attention since its inception. It has some inherent advantages, such as …

Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …

A new bio-inspired meta-heuristic algorithm, named Sled Dog Optimizer (SDO), is proposed
in this paper. The inspiration for SDO is primarily drawn from the various behavioral patterns …