Ant Colony Algorithm Application in Economic Load Distribution

In this paper we try to introduce the Ant Colony Optimization (ACO) and its application in Economic Dispatch ED). In the step one we present theory and performance of ant colony and its history and its application in various applications and how work the ant colony algorithm. In step two we present ant colony optimization include Basic Concept, Ant Searching Behavior, Path Retracing and Pheromone Updating, Pheromone Trail Evaporation, and in the overall view we present theory of Ant Colony completely. In step three we present general Ant Colony Algorithm step by step for solving any problem, but each problem will have specific formulation. In step four we have “Economic Dispatch Problem Formulation” that we present how this formulation for ED problems do, so by study this section you can do ED problem with Ant Colony Optimization and expand it for big problems. In step five we have present of simple ED problem and it’s simulating and comparing with Genetic Algorithm result and Lagrangian method result with Matlab programing tool that this program presented in this paper attachment. To end we have “Conclusion” and references that can be useful for more study about ACO.