Efficient Evolutionary Optimization Approach for IoT Based CNN Model

Abstract

IoT is network that connects various physical devices and enables their remote control. In this configuration, automobiles, buildings, and various other objects are outfitted with computer hardware and software as well as sensors and a network. As a result of this, these objects can now collaborate and exchange data with one another. The purpose of CNN model is to establish whether or not computers can be taught to enhance their ability to make accurate predictions. CNN model plays an essential role in the day-to-day operations of most successful companies in the world today, like Facebook, Google, and Uber, to name just a few. The use of CNN to gain a competitive advantage is becoming increasingly common in today's business world. The idea that different species can adapt to different environments over the course of their history is the fundamental idea behind evolutionary algorithms. In order to solve a problem, evolutionary algorithms consider a number of different options and then select the one that is most effective.