The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and
crowding distance mechanisms to solve multi-objective optimization problems. There is also …

A very significant field of research that keeps getting better at tackling optimization issues is
the metaheuristic algorithm. One of the categories of metaheuristic algorithms that has …

This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve
engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed …

Communication via email has expanded dramatically in recent decades due to its cost-
effectiveness, convenience, speed, and utility for a variety of contexts, including social …

With the enhancing demand of the cloud computing products, task scheduling issue has
become the hot study topic in this area. The task scheduling issue of the cloud computing …

In recent decades, metaheuristics have proven their effectiveness in solving large-scale real-
world problems with multiple objectives. However, we still need to design robust algorithms …

The optimization problems are divided into a single objective and multi-objective. Single
objective optimization has only one objective function; whereas, multi-objective optimization …

Aiming at addressing problems of poor diversity and ergodicity of initial population, slow
convergence speed, and susceptibility to local optima in conventional multi-objective …

Network performance optimization has always been one of the important research subjects
in mobile wireless sensor networks. With the expansion of the application field of MWSNs …