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Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
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 …
sustainability of water resources. The literature has shown great potential for nature-inspired …
A comprehensive survey on aquila optimizer
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 …
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
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 …
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
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 …
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
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 …
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 …
behavior pattern of meerkats in nature. MOA is mainly inspired by the survival strategies of …
A centralized strategy for multi-agent exploration
This paper introduces recently developed Aquila Optimization Algorithm specifically
configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …
configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …
Non-dominated sorting advanced butterfly optimization algorithm for multi-objective problems
This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
[HTML][HTML] A survey of trajectory planning techniques for autonomous systems
This work offers an overview of the effective communication techniques for space
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …
Novel cuckoo search-based metaheuristic approach for deep learning prediction of depression
Depression is a common illness worldwide with doubtless severe implications. Due to the
absence of early identification and treatment for depression, millions of individuals …
absence of early identification and treatment for depression, millions of individuals …