This paper presents a new multi-attribute decision-making (MADM) method, named as R-
method, for ranking of Pareto-optimal solutions and selecting the best solution in multi-and …

A review of the literature reveals a dearth of works on functionally graded material sandwich
shells having an auxetic core layer. This study contributes an analytical approach for the free …

This paper introduces an Improved Smell Agent Optimization Algorithm (mSAO), a new and
enhanced metaheuristic designed to tackle complex engineering optimization issues by …

One metaheuristic algorithm recently introduced is atom search optimization (ASO), inspired
by the physical movement of atoms based on the molecular dynamics in nature. ASO …

Harris hawks optimization (HHO) has been accepted as one of the well-established swarm-
based methods in the community of optimization and machine learning that primarily works …

Salp swarm algorithm (SSA) is a well-established population-based optimizer that exhibits
strong exploration ability, but slow convergence and poor exploitation capability. In this …

This paper develops an integrated model for the distribution of post-disaster temporary
shelters after a large-scale disaster. The proposed model clusters impacted areas using an …

Newly developed optimization algorithms, the Rao algorithms, are utilized for optimal truss
sizing in this study. In particular, a modified Rao algorithm that takes advantage of Rao-1and …

High precision rotary shafts with precise geometrical tolerances are generally mounted with
a micron level clearance between the gears and casing during operation in industrial …

Rao algorithms that include three algorithms are very simple and parameter-less algorithms
with effective and desirable performance. This paper modifies these three algorithms …