In this paper, an Improved Whale Optimization Algorithm which is intended towards the
better optimization of the solutions under the category of meta-heuristic algorithms is …

A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

This study presents a new natural-based algorithm called the Humboldt Squid Optimization
Algorithm (HSOA). HSOA is inspired by Humboldt squids hunting, moving, and mating …

Whale optimization algorithm (WOA) is a recently developed swarm intelligence-based
algorithm which is inspired from the social behavior of humpback whale. This algorithm …

A metaheuristic is a collection of algorithmic frameworks inspired by nature designed to
provide the fittest nearoptimal solution for optimization problems (Marqas et al., 2020) …

Metaheuristic algorithms have been widely studied and shown to be suitable for solving
various engineering optimization problems. This paper presents a novel variant of the whale …

This paper proposes a new nature-inspired metaheuristic algorithm called Clouded Leopard
Optimization (CLO), which mimics the natural behavior of clouded leopards in the wild. The …

This paper presents a new metaheuristic optimization algorithm, namely Bonobo optimizer
(BO). It is inspired from the social behaviour and reproductive strategies of Bonobos …

As a well-known bio-inspired optimization algorithm, the gray wolf optimizer mimics the
social dominant hierarchy and social interactions of gray wolves in nature. Inspired by this …

The process of data classification involves determining the optimal number of features that
lead to high accuracy. However, feature selection (FS) is a complex task that necessitates …