Abstract The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic
algorithm for solving real-world problems. However, MRFO suffers from slow convergence …

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 …

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 algorithms are currently being studied in depth by many scholars, and it is an
important task to improve the learning and adaptive capabilities of the algorithms so that …

Manta ray foraging optimization (MRFO), a new bioinspired optimization strategy, is
introduced and presented as a novel algorithm that gives an additional optimization …

This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Manta ray foraging optimization (MRFO) tends to get trapped in local optima as it relies on
the direction provided by the previous individual and the best individual as guidance to …

Trapping in local solutions is the main issue in several metaheuristic techniques. To solve
such drawbacks by enhancing the search agents, a modified search strategy becomes a …

The manta ray foraging optimization algorithm (MRFO) is a recently proposed meta-heuristic
algorithm that mimics the foraging process of manta rays. It has yielded good outcomes in …

A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …