Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …

H Tao, SI Abba, AM Al-Areeq, F Tangang… - … applications of artificial …, 2024 - Elsevier
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

A comprehensive survey on aquila optimizer

B Sasmal, AG Hussien, A Das, KG Dhal - Archives of Computational …, 2023 - Springer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …

[HTML][HTML] A novel bio-inspired optimization algorithm design for wind power engineering applications time-series forecasting

FK Karim, DS Khafaga, MM Eid, SK Towfek… - Biomimetics, 2023 - mdpi.com
Wind patterns can change due to climate change, causing more storms, hurricanes, and
quiet spells. These changes can dramatically affect wind power system performance and …

[HTML][HTML] Meta-heuristic optimization and keystroke dynamics for authentication of smartphone users

ESM El-Kenawy, S Mirjalili, AA Abdelhamid, A Ibrahim… - Mathematics, 2022 - mdpi.com
Personal Identification Numbers (PIN) and unlock patterns are two of the most often used
smartphone authentication mechanisms. Because PINs have just four or six characters, they …

BAOA: binary arithmetic optimization algorithm with K-nearest neighbor classifier for feature selection

N Khodadadi, E Khodadadi, Q Al-Tashi… - IEEE …, 2023 - ieeexplore.ieee.org
The Arithmetic Optimization Algorithm (AOA) is a recently proposed metaheuristic algorithm
that has been shown to perform well in several benchmark tests. The AOA is a metaheuristic …

Meerkat optimization algorithm: A new meta-heuristic optimization algorithm for solving constrained engineering problems

S **an, X Feng - Expert Systems with Applications, 2023 - Elsevier
In this paper, we proposed a meerkat optimization algorithm (MOA) by simulating the
behavior pattern of meerkats in nature. MOA is mainly inspired by the survival strategies of …

A centralized strategy for multi-agent exploration

F Gul, A Mir, I Mir, S Mir, TU Islaam, L Abualigah… - IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces recently developed Aquila Optimization Algorithm specifically
configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …

Non-dominated sorting advanced butterfly optimization algorithm for multi-objective problems

S Sharma, N Khodadadi, AK Saha… - Journal of Bionic …, 2023 - Springer
This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and
crowding distance mechanisms to solve multi-objective optimization problems. There is also …

[HTML][HTML] A survey of trajectory planning techniques for autonomous systems

I Mir, F Gul, S Mir, MA Khan, N Saeed, L Abualigah… - Electronics, 2022 - mdpi.com
This work offers an overview of the effective communication techniques for space
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …

Novel cuckoo search-based metaheuristic approach for deep learning prediction of depression

K Jawad, R Mahto, A Das, SU Ahmed, RM Aziz… - Applied Sciences, 2023 - mdpi.com
Depression is a common illness worldwide with doubtless severe implications. Due to the
absence of early identification and treatment for depression, millions of individuals …