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This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other compact evolutionary algorithms, does not process a population of solutions but its statistic description which evolves similarly to all the evolutionary algorithms. In addition, cDE employs the mutation and crossover typical of differential evolution (DE) thus reproducing its search logic. Unlike other compact...
Recent research on compact GAs (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. The cGAs evolve a stochastic description of an hypothetical population processing a probability vector with update rules inspired to the typical selection and recombination operations of a GA. The cGAs well lend themselves to real-time implementations in constrained, low capacity...
This paper describes a design procedure for a cascaded control system of induction motors based on compact genetic algorithms (cGAs). CGAs are search methods that process a probability vector (describing the distribution of a hypothetical population) with update rules inspired to the typical selection and recombination operations of a GA. The cGAs well lend themselves to real-time implementations...
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