Home
Atlas
Insights
Docs
Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

ESTVBO: a powerful meta-heuristic optimization algorithm for solving optimization problems

Creator:

MahSooAmi

Publisher:

Spr

Host:

Visit

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mining https://www.springernature.com/gp/researchers/text-and-data-mining

Similar

A multi-strategy enhanced African vultures optimization algorithm for global optimization problemsIHAOAVOA: An improved hybrid Aquila Optimizer and African Vultures Optimization Algorithm for global optimization problemsAfrican vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problemsAdvanced Meta-Heuristic Algorithm Based on Particle Swarm and Al-Biruni Earth Radius Optimization Methods for Oral Cancer DetectionMany-objective African vulture optimization algorithm: A novel approach for many-objective problemsSolving wind‐integrated unit commitment problem by a modified African vultures optimization algorithm

A multi-strategy enhanced African vultures optimization algorithm for global optimization problems

Abstract The African vultures optimization algorithm (AVOA) is a recently proposed

IHAOAVOA: An improved hybrid Aquila Optimizer and African Vultures Optimization Algorithm for global optimization problems

Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly developed met

African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems

International audience Addressing complex optimization problems demands innovative so

Advanced Meta-Heuristic Algorithm Based on Particle Swarm and Al-Biruni Earth Radius Optimization Methods for Oral Cancer Detection

Many-objective African vulture optimization algorithm: A novel approach for many-objective problems

Several optimization problems can be abstracted into many-objective optimization problems (MaOPs). T

Solving wind‐integrated unit commitment problem by a modified African vultures optimization algorithm

Abstract Unit commitment (UC) stands out as a significant c