This paper proposes improvement in clonal algorithm by introducing quantum bits in the development of population and quantum inspired clonal algorithm a novel optimization approach for the solution of Economic Load Dispatch. The approach utilizes clonal selection principle and evolutionary approach wherein cloning of antibodies is performed and followed by hyper mutation. The developed AIS technique uses the total operating cost as objective function and it is represented by affinity measure. The proposed algorithm is tested with multiple units and multiple load demand conditions and results are compared with other prevalent methods like particle swarm optimization, lambda iteration, genetic algorithm and clonal algorithm. . The results divulge that the method is easy to implement, fast convergent and applicable for the solution of complex ELD problem.
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