As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

The design of complex mechanical components is a time-consuming process which involves
many design variables with multiple interacted objectives and constraints. Traditionally, the …

In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …

Recently, many intelligent algorithms have been proposed to find the best solution for
complex engineering problems. These algorithms can search volatile and multi-dimensional …

This paper proposes a new population-based optimization algorithm called hunter–prey
optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as …

The aim of this study was to gather, discuss, and compare recently developed
metaheuristics to understand the pace of development in the field of metaheuristics and …

This paper proposes a novel nature-inspired swarm-based optimization algorithm called elk
herd optimizer (EHO). It is inspired by the breeding process of the elk herd. Elks have two …

In this study, we introduce the pied kingfisher optimizer (PKO), a novel swarm-based meta-
heuristic algorithm that draws inspiration from the distinctive hunting behavior and symbiotic …

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 …

In many disciplines, including pattern recognition, data mining, machine learning, image
analysis, and bioinformatics, data clustering is a common analytical tool for data statistics …