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Optimization of stand-alone hybrid renewable energy system based on techno-socio-enviro-financial perspective using improved red-tailed hawk algorithm
The generation of electricity from Renewable Energy Sources (RES) in off-grid systems has
increased rapidly over the last several years, mostly to satisfy regional electricity demand …
increased rapidly over the last several years, mostly to satisfy regional electricity demand …
Design of chaotic Young's double slit experiment optimization heuristics for identification of nonlinear muscle model with key term separation
In this work, a novel variant of Young's double slit experiment (YDSE) optimizer is introduced
with improved performance by integrating ten different chaotic maps. The integration is …
with improved performance by integrating ten different chaotic maps. The integration is …
[HTML][HTML] Chaotic Aquila Optimization algorithm for solving global optimization and engineering problems
Abstract The Aquila Optimization (AO) algorithm is a newly established swarm-based
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …
Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis
Chaos theory, with its unique blend of randomness and ergodicity, has become a powerful
tool for enhancing metaheuristic algorithms. In recent years, there has been a growing …
tool for enhancing metaheuristic algorithms. In recent years, there has been a growing …
Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system
The Artificial rabbit optimization (ARO) algorithm replicates the survival skills of rabbits in the
wild. However, like other metaheuristic approaches it possesses significant drawbacks in …
wild. However, like other metaheuristic approaches it possesses significant drawbacks in …
Secured Energy Efficient Chaotic Gazelle Based Optimized Routing Protocol in Mobile Ad-Hoc Network
GK Ahirwar, R Agarwal, A Pandey - Sustainable Computing: Informatics …, 2025 - Elsevier
In this research, a Secured Energy Efficient Chaotic Gazelle based Optimized Routing
Protocol (SE 2 CG-ORP) is proposed to enhance the security for routing. The Feistel …
Protocol (SE 2 CG-ORP) is proposed to enhance the security for routing. The Feistel …
MLGO: A machine learning-based mountain gazelle optimization algorithm for efficient resource management and load balancing in fiber wireless access networks
Addressing the challenges posed by escalating data demands, connected devices, and
bandwidth-hungry technologies, Fiber Wireless (FiWi) networks offer a holistic solution …
bandwidth-hungry technologies, Fiber Wireless (FiWi) networks offer a holistic solution …
Feature Selection with Improved Mountain Gazelle Optimizer Algorithm for Intrusion Detection Systems
S Baghirzada - 2024 - search.proquest.com
This master's thesis, titled" Feature Selection with Improved Mountain Gazelle Optimizer
Algorithm for Intrusion Detection Systems," presents a comprehensive evaluation of the …
Algorithm for Intrusion Detection Systems," presents a comprehensive evaluation of the …
A novel reinforcement learning-inspired tunicate swarm algorithm for solving global optimization and engineering design problems
Reinforcement learning, specifically Q-learning, has gained a plethora of attention from
researchers in recent decades due to its remarkable performance in various applications …
researchers in recent decades due to its remarkable performance in various applications …
Hybrid Cooperative Crayfish and Mountain Gazelle Algorithm for Global Optimization
The crayfish optimization algorithm (COA) and mountain gazelle optimization algorithm
(MGO) have emerged as two powerful metaheuristics for global optimization. It has been …
(MGO) have emerged as two powerful metaheuristics for global optimization. It has been …