Solving Economic Load Dispatch Problem by Natural Computing Intelligent Systems

This paper presents intelligent systems based on natural computing for solving economic load dispatch problems. The proposed methods use three different natural computing techniques: Cultural algorithms, artificial immune systems and fuzzy inference systems. The base for the methods is a real coded immune system centred on the clonal selection principle. Two cultural variations are presented, where the operators of the immune system are guided by knowledge accumulated through the evolutionary process. One of the cultural variations uses a fuzzy inference system to decide the knowledge to be applied. Three test problems are used to validate the proposed methods which are compared with state-of-the-art algorithms.