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Cognitive radio (CR) wireless parameter optimization is a typical multi-objective optimization problem. In order to optimize wireless parameters, a non-dominated neighbor distribution multi-objective genetic algorithm (NNDA) is presented in this paper. Based on non-dominated sorting, NNDA increases the probability that superior individuals pass down to next generation by crowding distance and distribution...
Resource optimization is a very important aspect in cognitive radio network (CRN). It is a typical multi-objective optimization problem. This paper proposes a mixed multi-objective immune cloning genetic algorithm (MMGA) to solve the optimization of resource allocation in CRNs. Based on the genetic algorithm of non-domination sort, the MMGA adds external memory immune operator and cloning operator...
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