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A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques
The increasing energy prices and pollutants from fossil fuels that threaten the climate, there
is a growing preference for renewable energy. The implementation of hybrid renewable …
is a growing preference for renewable energy. The implementation of hybrid renewable …
Advances in manta ray foraging optimization: A comprehensive survey
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator
This paper presents a new metaheuristic algorithm by enhancing one of the recently
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems
Abstract The Slime Mould Algorithm (SMA) is a recent metaheuristic inspired by the
oscillation of slime mould. Similar to other original metaheuristic algorithms (MAs), SMA may …
oscillation of slime mould. Similar to other original metaheuristic algorithms (MAs), SMA may …
Optimal PID plus second-order derivative controller design for AVR system using a modified Runge Kutta optimizer and Bode's ideal reference model
This paper presents the development of a new metaheuristic algorithm by modifying one of
the recently proposed optimizers named Runge Kutta optimizer (RUN). The modified RUN …
the recently proposed optimizers named Runge Kutta optimizer (RUN). The modified RUN …
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves
G Hu, M Li, X Wang, G Wei, CT Chang - Knowledge-Based Systems, 2022 - Elsevier
The shape optimization of complex curves is a crucial and intractable technique in computer
aided geometric design and widely used in many product design and manufacturing fields …
aided geometric design and widely used in many product design and manufacturing fields …
[HTML][HTML] Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design
This paper explains the construction of a novel augmented hunger games search algorithm
using a logarithmic spiral opposition-based learning technique. The proposed algorithm …
using a logarithmic spiral opposition-based learning technique. The proposed algorithm …
An effective controller design approach for magnetic levitation system using novel improved manta ray foraging optimization
This paper demonstrates the development of a novel metaheuristic algorithm which has an
enhanced diversification and intensification features and aims to construct an efficient …
enhanced diversification and intensification features and aims to construct an efficient …
Optimizing economic dispatch problems in power systems using manta ray foraging algorithm: an oppositional-based approach
SR Spea - Computers and Electrical Engineering, 2024 - Elsevier
This paper introduces the manta ray foraging optimization algorithm (MRFO) and its
enhanced version, the oppositional-based manta ray foraging optimization algorithm …
enhanced version, the oppositional-based manta ray foraging optimization algorithm …
Ewso: boosting white shark optimizer for solving engineering design and combinatorial problems
Population-based meta-heuristic algorithms are crucial for solving optimization issues. One
of these recent algorithms that is now believed to be promising metaheuristic algorithm is the …
of these recent algorithms that is now believed to be promising metaheuristic algorithm is the …