[HTML][HTML] An improved manta ray foraging optimization algorithm

P Qu, Q Yuan, F Du, Q Gao - Scientific Reports, 2024 - nature.com
Abstract The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic
algorithm for solving real-world problems. However, MRFO suffers from slow convergence …

An improved manta ray foraging optimization algorithm

P Qu, Q Yuan, F Du, Q Gao - Scientific reports, 2024 - pubmed.ncbi.nlm.nih.gov
The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic algorithm for
solving real-world problems. However, MRFO suffers from slow convergence precision and …

An improved manta ray foraging optimization algorithm.

P Qu, Q Yuan, F Du, Q Gao - Scientific Reports, 2024 - search.ebscohost.com
Abstract The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic
algorithm for solving real-world problems. However, MRFO suffers from slow convergence …

An improved manta ray foraging optimization algorithm

P Qu, Q Yuan, F Du, Q Gao - Scientific Reports, 2024 - ui.adsabs.harvard.edu
Abstract The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic
algorithm for solving real-world problems. However, MRFO suffers from slow convergence …

An improved manta ray foraging optimization algorithm.

P Qu, Q Yuan, F Du, Q Gao - Scientific Reports, 2024 - europepmc.org
Abstract The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic
algorithm for solving real-world problems. However, MRFO suffers from slow convergence …

[HTML][HTML] An improved manta ray foraging optimization algorithm

P Qu, Q Yuan, F Du, Q Gao - Scientific Reports, 2024 - ncbi.nlm.nih.gov
Abstract The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic
algorithm for solving real-world problems. However, MRFO suffers from slow convergence …

An improved manta ray foraging optimization algorithm.

P Qu, Q Yuan, F Du, Q Gao - Scientific Reports, 2024 - europepmc.org
The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic algorithm for
solving real-world problems. However, MRFO suffers from slow convergence precision and …