Elephant herding optimization: variants, hybrids, and applications

J Li, H Lei, AH Alavi, GG Wang - Mathematics, 2020 - mdpi.com
Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

Learning-based elephant herding optimization algorithm for solving numerical optimization problems

W Li, GG Wang, AH Alavi - Knowledge-Based Systems, 2020 - Elsevier
The elephant herding optimization (EHO) is a recent swarm intelligence algorithm. This
algorithm simulates the clan updating and separation behavior of elephants. The EHO …

A multi-population immune plasma algorithm for path planning of unmanned combat aerial vehicle

S Aslan, T Erkin - Advanced Engineering Informatics, 2023 - Elsevier
Autonomous flight of an unmanned aerial vehicle (UAV) or its weaponized variant named
unmanned combat aerial vehicle (UCAV) requires a route or path determined carefully by …

[HTML][HTML] An immune plasma algorithm based approach for UCAV path planning

S Aslan, T Erkin - Journal of King Saud University-Computer and …, 2023 - Elsevier
Immune Plasma algorithm for short IPA is one of the most recent meta-heuristics and differs
when the speciality of the process tried to be modeled is considered. The competitive …

[PDF][PDF] Unmanned combat aerial vehicle path planning by brain storm optimization algorithm

E Dolicanin, I Fetahovic, E Tuba, R Capor-Hrosik… - Studies in Informatics …, 2018 - sic.ici.ro
The use of the unmanned aerial vehicles is rapidly growing in ever wider range of
applications where military use is among the oldest ones. One of the fundamental problems …

An improved elephant herding optimization for global optimization problems

H Singh, B Singh, M Kaur - Engineering with Computers, 2022 - Springer
This study proposes a modified Elephant Herding Optimization algorithm to enhance the
capability of a classical algorithm for convalescent convergence rate and precision to solve …

Path planning in unmanned aerial vehicles: An optimistic overview

N Shahid, M Abrar, U Ajmal, R Masroor… - International Journal …, 2022 - Wiley Online Library
With the development in the technology, a rapid increase in the use of unmanned aerial
vehicle (UAV) is observed. UAVs are executing tasks that were previously performed by …

Mobile robot path planning by improved brain storm optimization algorithm

E Tuba, I Strumberger, D Zivkovic… - 2018 IEEE congress …, 2018 - ieeexplore.ieee.org
Robots have found their purpose in various situations, from speeding the manufacturing
processes to performing complicated tasks in dangerous and hostile environments. One of …

Optimal scheduling of dynamic pricing based V2G and G2V operation in microgrid using improved elephant herding optimization

VK Jadoun, N Sharma, P Jha, H Malik… - Sustainability, 2021 - mdpi.com
The unpredictable nature of the loads and non-linearity of the components of microgrid
systems make optimal scheduling more complex. In this paper, a deterministic optimal load …

A hybrid differential symbiotic organisms search algorithm for UAV path planning

L Huo, J Zhu, Z Li, M Ma - Sensors, 2021 - mdpi.com
Unmanned aerial vehicle (UAV) path planning is crucial in UAV mission fulfillment, with the
aim of finding a satisfactory path within affordable time and moderate computation …