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 paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse
optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of …

Abstract Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and
engineering design problems are fundamental to the development of artificial intelligence …

The artificial hummingbird algorithm (AHA) is a recently introduced versatile metaheuristic
optimizer that simulates flight patterns and intelligent foraging skills of hummingbirds. It has …

Population-based algorithms have become a research hotspot for optimization problems
and have been widely applied in various fields in recent decades. This paper presents the …

The whale optimization algorithm (WOA) tends to suffer from slow convergence speed and
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …

In this paper, a new bio-inspired metaheuristic algorithm called the Lyrebird Optimization
Algorithm (LOA) that imitates the natural behavior of lyrebirds in the wild is introduced. The …

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …

This paper presents a novel meta-heuristic algorithm called Ali Baba and the forty thieves
(AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the …

As an efficient meta-heuristic algorithm, the whale optimization algorithm (WOA) has been
extensively applied to practical problems. However, WOA still has the drawbacks of …