Network Optimization Using Genetic Programming

Abstract

Evolutionary Algorithms form the base for creating Artificial Intelligence applications and systems. Evolutionary Computation forms the basis of those algorithms that are used in day to day and future applications. Computer networks as we know, form a major contributor to those data sources. Big Data and all types of computer related data are found on the internet and the internet forms sources of data all over the world. Therefore, data modulation techniques form a basis of data transfer over the internet all over the world. Therefore, Evolutionary Networks are the type of computer networks that evolve over time due to the evolutionary nature of the algorithms involved. Our intention in the paper is to create a fault free data modulation technique used in computer networking. In the network, the timing is based on the evolutionary data of the customer. The internet history of the customer is taken into consideration and the data modulation is based on the customer history. How this is done is based on the pheromone concentration of ant colony optimization and the probable path of the bee algorithm. These evolutionary algorithms are fed to the firewall and routing tables of the network to form the evolutionary network generation and user behavior. When the algorithms working behind firewall and routing tables are replaced by Evolutionary Algorithms, then they start to showcase evolutionary behavior. This is the foundation principle on which this paper is based. Once the firewall and the routing table are evolved, the computer network towhich they are connected becomes Evolutionary Networks.