Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …

Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

Many engineering and scientific problems in the real-world boil down to optimization
problems, which are difficult to solve by using traditional methods. Meta-heuristics are …

This article proposes a new effective technique, named eagle-strategy supply–demand
based optimization algorithm with chaotic (ESCSDO), for achieving global solutions to …

This article proposes the use of a leader white shark optimizer (LWSO) with the aim of
improving the exploitation of the conventional white shark optimizer (WSO) and solving the …

The rapid advancement of renewable energy sources (RESs) has led to a decrease in
system inertia and an exacerbation of the instability issue. Hence, this study puts forward an …

Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …

Hydrogen plays a crucial role in the quest for sustainable and clean energy solutions, and its
effect on smart home energy management is of particular interest. With the rapid …

A novel multi-objective Coronavirus disease optimization algorithm (MOCOVIDOA) is
presented to solve global optimization problems with up to three objective functions. This …