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 …

Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …

The key task in dynamic multiobjective optimization problems (DMOPs) is to find Pareto-
optima closer to the true one as soon as possible once a new environment occurs. Previous …

Abstract Wireless Sensor Networks (WSN) are operated on battery source, and the sensor
nodes are used for collecting the information from the environment and transmitting the …

Ant colony algorithm can resolve dynamic optimization problems due to its robustness and
adaptation. The aim of such algorithms in dynamic environments is no longer to find an …

Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …

This paper studies a challenging problem of dynamic scheduling in steelmaking-continuous
casting (SCC) production. The problem is to re-optimize the assignment, sequencing, and …

This paper provides a survey of the research done on optimization in dynamic environments
over the past decade. We show an analysis of the most commonly used problems, methods …

Traditional ant colony optimization (ACO) algorithms have difficulty in addressing dynamic
optimization problems (DOPs). This is because once the algorithm converges to a solution …

In recent times, wireless access technology is becoming increasingly commonplace due to
the ease of operation and installation of untethered wireless media. The design of wireless …