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Describing real-world phenomena with complicated models and simulations also gave birth to the need for development of optimization software that would be able to optimize the parameters of such models. To optimize such complicated models, evolutionary algorithms have shown to provide the best performance, in terms of exploration of the search space. However, evolutionary algorithms, in order to solve an optimization problem, generally require a high number of calculations. This weakness is ofdoi:10.26240/heal.ntua.13756 fatcat:oyfp7bbzajbfrk6rtqdnuazxlu