Multiple genetic algorithm processor for the economic power dispatch problem

We describe the application of a hardware genetic algorithm processor to handle the economic power dispatch problem. We have analysed a variety of configurations including varying the string word length and the introduction of multiple processor configurations. Results show that multiple genetic algorithm processor configurations work better than other configurations with less complexity. It is possible to apply multiple configurations to larger numbers of generators in the problem