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

A metaheuristic-based structural optimization method, whilst being popularly adopted due to
its advantages in by-passing gradient function calculations, requires the use of time …

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 …

The objective of this paper is to present a method for predicting blast-induced ground
vibration in open-pit mines that is based on the use of self-organizing neural networks …

With the increasing diversity of performance requirements for engineering structures,
credibility has become an essential prerequisite for ensuring structural safety. This article …

This review paper delves into the original MRFO and its variants, focusing on single-
objective algorithms including but not limited to hybrid algorithms, learning strategies …

The main aim of this article is to use a new metaheuristic algorithm for the optimum design of
truss structures. The artificial rabbits optimization (ARO) algorithm is used, in which rabbits' …

Optimum design of truss structures can be a challenging and difficult field of study specially if
an optimum design problem is comprised of continuous and discrete decision variables …

Metaheuristic algorithms (MH) are widely used in engineering applications due to their
global search capabilities and independence from gradient information. Truss structures are …

Steel production is considered one of the most material and energy-consuming industries,
and using less energy is considered vital to promote environmental sustainability. Steel is …