This article presents a literature review to identify the current knowledge of supply chains 4.0
from the sustainability perspective. Reviewed papers were classified in terms of objectives …

The suitability of microgrids depends upon the balance between the size, cost-efficiency and
reliability of the system. The work involves optimal planning of microgrid taking a case of …

In this study, we propose a new hybrid algorithm fusing the exploitation ability of the particle
swarm optimization (PSO) with the exploration ability of the grey wolf optimizer (GWO). Our …

In regions with lack of hydrological and hydraulic data, a spatial flood modeling and
mapping is an opportunity for the urban authorities to predict the spatial distribution and the …

This paper addresses the path planning and control of multiple colonies/clusters that have
unmanned aerial vehicles (UAV) which make a network in a hazardous environment. To …

This paper introduces an innovative automatic K-means clustering algorithm, namely HGA-
FACO, which seamlessly integrates the noise algorithm, Genetic Algorithm (GA), Ant Colony …

Measuring sustainable efficiency is a wide research topic that has gained increased
relevance over the course of the years, particularly in the field of supply chain management …

This work presents a swarm-based meta-heuristic technique known as Generalized Ant
Colony Optimizer (GACO). It is a hybrid approach which consists of Simple Ant Colony …

In cloud computing, task scheduling is a challenging problem in cloud data center, and there
are many different kinds of task scheduling strategies. A good scheduling strategy can bring …

Using Hybrid optimization algorithms for nonlinear systems analysis is a novel approach. It
is a powerful technique that uses the exploitation ability of one algorithm and the exploration …