Elephant herding optimization: variants, hybrids, and applications
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 …
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
The elephant herding optimization (EHO) is a recent swarm intelligence algorithm. This
algorithm simulates the clan updating and separation behavior of elephants. The EHO …
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
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 …
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
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 …
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
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 …
applications where military use is among the oldest ones. One of the fundamental problems …
An improved elephant herding optimization for global optimization problems
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 …
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 …
vehicle (UAV) is observed. UAVs are executing tasks that were previously performed by …
Mobile robot path planning by improved brain storm optimization algorithm
Robots have found their purpose in various situations, from speeding the manufacturing
processes to performing complicated tasks in dangerous and hostile environments. One of …
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
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 …
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 …
aim of finding a satisfactory path within affordable time and moderate computation …