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The Radio Network Design (RND) problem for wide area networks consists of determining the optimal locations for base station transmitters in order to get a maximum coverage area with a minimum number of transmitters. Because of the grand amount of possible solutions, this problem is most suitable to be tackled with bio-inspired techniques instead of classical approaches. Our recent research work exploited a differential evolution based algorithm to deal with this problem. This paper describes an enhanced implementation of our Differential Evolution-based algorithm that is able to tackle the RND problem in a most effective and faster way that the one observed in our previous work. This approach includes the comparison of different operators and the usage of an alternate initialisation model.