The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …

Abstract Though the Butterfly Bptimization Algorithm (BOA) has already proved its
effectiveness as a robust optimization algorithm, it has certain disadvantages. So, a new …

The objective of this study is to craft a novel S-Box tailored to stringent security standards,
achieved through iterative application of crossover and mutation operators inherent to real …

Metaheuristics have been successfully used for solving complex structural optimization
problems. Many algorithms are proposed for truss structure size and shape optimization …

The butterfly optimization algorithm (BOA) is a meta-heuristic algorithm that mimics foraging
and mating behavior of butterflies. In order to alleviate the problems of slow convergence …

Performance of convergence to the optimum value is not completely a known process due to
characteristics of the considered design problem and floating values of optimization …

Swarm intelligence optimization algorithms have been widely used in structural identification
due to its powerful search ability, while an unpleasant identification result is regularly …

In this study, to improve the algorithmic performance of standard grasshopper optimization
algorithm (GOA) that mimics the foraging characterizations of grasshoppers as in swarms …

Convergence analysis of any random search algorithm helps to verify whether and how
quickly the algorithm guarantees convergence to the point of interest. Butterfly optimization …

Purpose The fishing cat's unique hunting strategies, including ambush, detection, diving and
trap**, inspired the development of a novel metaheuristic optimization algorithm named …