This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …

Addressing complex optimization problems demands innovative solutions capable of
navigating the interdependencies among variables, a reality often oversimplified by …

The African vulture optimization algorithm (AVOA) is a recently developed metaheuristic
algorithm that imitates the eating and movement patterns of authentic African vultures. AVOA …

This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …

In recent years, research on Unmanned Aerial Vehicles has become one of the most
interesting topics for industry and academics. UAVs path planning is one of the most …

Several optimization problems can be abstracted into many-objective optimization problems
(MaOPs). The key to solving MaOPs is designing an effective algorithm to balance the …

This paper introduces a novel meta-heuristic algorithm named Rhinopithecus Swarm
Optimization (RSO) to address optimization problems, particularly those involving high …

Nature-inspired optimization algorithms named meta-heuristics are found to be versatile in
engineering design fields. Their adaptability is also used in various areas of the Internet of …

In this paper, a new bio-inspired metaheuristic algorithm called Tasmanian Devil
Optimization (TDO) is designed that mimics Tasmanian devil behavior in nature. The …

The beluga whale optimization (BWO) algorithm is a recently proposed metaheuristic
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …