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Crayfish optimization algorithm
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Modified crayfish optimization algorithm for solving multiple engineering application problems
Abstract Crayfish Optimization Algorithm (COA) is innovative and easy to implement, but the
crayfish search efficiency decreases in the later stage of the algorithm, and the algorithm is …
crayfish search efficiency decreases in the later stage of the algorithm, and the algorithm is …
Chaotic sand cat swarm optimization
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …
Guided learning strategy: A novel update mechanism for metaheuristic algorithms design and improvement
H Jia, C Lu - Knowledge-Based Systems, 2024 - Elsevier
Meta-heuristic algorithms (MH) are naturally inspired global optimization algorithms. They
are often relatively simple and can solve problems in a short period of time, with certain …
are often relatively simple and can solve problems in a short period of time, with certain …
Chaotic opposition learning with mirror reflection and worst individual disturbance grey wolf optimizer for continuous global numerical optimization
The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …
DGS-SCSO: Enhancing sand cat swarm optimization with dynamic pinhole imaging and golden sine algorithm for improved numerical optimization performance
This paper introduces DGS-SCSO, a novel optimizer derived from Sand Cat Swarm
Optimization (SCSO), aiming to overcome inherent limitations in the original SCSO …
Optimization (SCSO), aiming to overcome inherent limitations in the original SCSO …
An improved reptile search algorithm with ghost opposition-based learning for global optimization problems
In 2021, a meta-heuristic algorithm, Reptile Search Algorithm (RSA), was proposed. RSA
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms
The search domain of meta-heuristic algorithms is always constantly changing, which make
it difficult to adapt the diverse optimization issues. To overcome above issue, an evolutionary …
it difficult to adapt the diverse optimization issues. To overcome above issue, an evolutionary …
Improved snow ablation optimizer with heat transfer and condensation strategy for global optimization problem
The snow ablation optimizer (SAO) is a new metaheuristic algorithm proposed in April 2023.
It simulates the phenomenon of snow sublimation and melting in nature and has a good …
It simulates the phenomenon of snow sublimation and melting in nature and has a good …
A power transformer fault diagnosis method based on improved sand cat swarm optimization algorithm and bidirectional gated recurrent unit
W Lu, C Shi, H Fu, Y Xu - Electronics, 2023 - mdpi.com
The bidirectional gated recurrent unit (BiGRU) method based on dissolved gas analysis
(DGA) has been studied in the field of power transformer fault diagnosis. However, there are …
(DGA) has been studied in the field of power transformer fault diagnosis. However, there are …