In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …

Nature computing has evolved with exciting performance to solve complex real-world
combinatorial optimization problems. These problems span across engineering, medical …

The sparrow search algorithm (SSA) tends to fall into local optima and to have insufficient
stagnation when applied to the traveling salesman problem (TSP). To address this issue, we …

Abstract Human-Computer Interaction is the secret to technological advancement in the area
of logistics and supply chain. The key challenges are the degree of energy transferred to …

Task scheduling for the cloud is one of the main advances in IoMT stage, which impacts the
whole execution of the cloud resource. Cloud is a proficient headway for computation, and it …

Airspace complexity is a critical metric in current Air Traffic Management systems for
indicating the security degree of airspace operations. Airspace complexity can be affected …

Decision-making for autonomous driving is challenging, considering the complex
interactions among multiple traffic agents (including autonomous vehicles (AVs), human …

Index tracking is the problem of building a portfolio that replicates the performance of a
market index. The recent applications involving deep learning in index tracking are more …

When dealing with traffic big data under the background of Internet of Things (IoT), traffic
control under the single-machine computing environment is difficult to adapt to the massive …

The objective of this chapter is to present a clear understanding of Genetic Algorithms and
their application in advancing intelligent systems. It offers insight into the methodology of …