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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3113323
Abstract: The Manta ray foraging optimization (MRFO) is a novel swarm-based metaheuristic optimizer. It is mainly modeled by simulating three foraging behaviors of the Manta rays, which has a good performance. However, several drawbacks of MRFO…
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Keywords:
manta ray;
optimization;
ray foraging;
foraging optimization ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3276264
Abstract: The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the smart conduct of manta rays. The MRFO algorithm is a newly developed swarm-based metaheuristic approach that emulates the supportive conduct performed by…
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Keywords:
foraging optimization;
manta ray;
algorithm;
ray foraging ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3082933
Abstract: For the shortcomings of the manta ray foraging optimization (MRFO) algorithm, like slow convergence speed and difficult to escape from the local optimum, an improved manta ray foraging algorithm based on Latin hypercube sampling and…
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Keywords:
manta ray;
algorithm;
ray foraging;
group ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7140552
Abstract: DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction.…
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Keywords:
vector quantization;
foraging optimization;
manta ray;
ray foraging ... See more keywords