Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations

D Molina, J Poyatos, JD Ser, S García, A Hussain… - Cognitive …, 2020 - Springer
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Bald eagle search algorithm: a comprehensive review with its variants and applications

MA El-Shorbagy, A Bouaouda, HA Nabwey… - Systems Science & …, 2024 - Taylor & Francis
Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …

Recent applications and advances of African Vultures Optimization Algorithm

AG Hussien, FS Gharehchopogh, A Bouaouda… - Artificial Intelligence …, 2024 - Springer
Abstract The African Vultures Optimization Algorithm (AVOA) is a recently developed meta-
heuristic algorithm inspired by the foraging behavior of African vultures in nature. This …

[HTML][HTML] Exploring metaheuristic optimized machine learning for software defect detection on natural language and classical datasets

A Petrovic, L Jovanovic, N Bacanin, M Antonijevic… - Mathematics, 2024 - mdpi.com
Software is increasingly vital, with automated systems regulating critical functions. As
development demands grow, manual code review becomes more challenging, often making …

Efficient economic operation based on load dispatch of power systems using a leader white shark optimization algorithm

MH Hassan, S Kamel, A Selim, A Shaheen, J Yu… - Neural Computing and …, 2024 - Springer
This article proposes the use of a leader white shark optimizer (LWSO) with the aim of
improving the exploitation of the conventional white shark optimizer (WSO) and solving the …

The Differentiated Creative search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems

P Duankhan, K Sunat, S Chiewchanwattana… - Expert Systems with …, 2024 - Elsevier
This article introduces differentiated creative search (DCS), a groundbreaking optimization
algorithm that revolutionizes traditional decision-making systems in complex environments …

Optimal nodes localization in wireless sensor networks using Nutcracker optimizer algorithms: Istanbul Area

N Neggaz, A Seyyedabbasi, AG Hussien… - IEEE …, 2024 - ieeexplore.ieee.org
Node localization is a non-deterministic polynomial time (NP-hard) problem in Wireless
Sensor Networks (WSN). It involves determining the geographical position of each node in …

Large-scale benchmarking of metaphor-based optimization heuristics

D Vermetten, C Doerr, H Wang, AV Kononova… - Proceedings of the …, 2024 - dl.acm.org
The number of proposed iterative optimization heuristics is growing steadily, and with this
growth, there have been many points of discussion within the wider community. One …

Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization

LA Beltran, MA Navarro, D Oliva… - Expert Systems with …, 2024 - Elsevier
Global optimization of complex and high-dimensional functions remains a central challenge
with broad applications in science and engineering. This study introduces a new …

A Review on Multi-objective Optimization Techniques of Wire Electrical Discharge Machining

D Pendokhare, S Chakraborty - Archives of Computational Methods in …, 2024 - Springer
In the present-day manufacturing environment, wire electrical discharge machining (WEDM)
has become one of the most efficient non-conventional material removal processes to …