Manta Ray Foraging Optimization Algorithm: Modifications and Applications

The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the smart conduct of rays. MRFO a newly developed swarm-based approach that emulates supportive performed by rays in search food. efficiently resolves several difficulties various domains due to its ability provide an equilibrium between global and local searches during procedure, resulting nearly optimal results. Thus, researchers have variants since introduction. This paper provides in-depth examination recent research. First, introduces natural inspiration context conceptual framework, then modifications, hybridizations, applications across different are discussed. Finally, meta-analysis developments presented along with possible future research directions. study can be useful for practitioners optimization, engineering design, machine learning, scheduling, image processing, other fields.