Paper Title
A STUDY ON THE INTEGRATION OF ANT COLONY OPTIMIZATION (ACO) ALGORITHM TO DIFFERENT FIELDS

Abstract
Artificial intelligence is constantly being recognized and growing nowadays. Numerous software application was developed to perform a specific purpose and to solve a particular problem. Swarm intelligence is one of the most significant fields in AI that used the behavior of the environment and living things to solve particular problems. Ant Colony Optimization (ACO) is one of the most popular algorithms of Swarm Intelligence. ACO is used to optimize the processes and procedures of an event or something that the idea came from the behavior of ants in a colony. ACO has been integrated into different fields of the industry and the society to develop the best of their products and services. Computing, Networks, Path Planning and Food Industry are some of the industries that uses ACO approach to analyze their processes and various services to provide the best of their processes and services. Different techniques and algorithms were integrated into ACO algorithm for the enhancement of the optimization process. Strengthening and improving the nature of the ACO algorithm has given even better and more valuable results in the development of the most efficient products, services and solutions. Keywords - Swarm Intelligence, Ant Colony Optimization, Computing, Networks, Path Planning, Industry, Improvement