Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …

In the last few decades, metaheuristic algorithms that use the laws of nature have been used
dramatically in numerous and complex optimization problems. The artificial hummingbird …

The path planning of unmanned aerial vehicle is a complex practical optimization problem,
which is an important part of unmanned aerial vehicle technology. For constrained path …

Abstract Kepler Optimization Algorithm (KOA) is a physically based meta-heuristic algorithm
inspired by Kepler's laws to simulate planetary motions, KOA shows strong performance on …

The fitness function value is a kind of important information in the search process, which can
be more targeted according to the guidance of the fitness function value. Most existing meta …

This study introduces a novel population-based metaheuristic algorithm called secretary bird
optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their …

Abstract Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates
the social behaviors of beluga whales swimming, foraging, and whale falling. Compared …

Abstract Fractional Vegetation Coverage (FVC) is an essential indicator that captures
variations in vegetation and documents the impacts of climate change and human activity for …

Supply Chain (SC) Optimization is a key activity in today's industry with the goal of
increasing operational efficiency, reducing costs, and improving customer satisfaction …