2019
DOI: 10.1080/02533839.2018.1562992
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Multi-objective optimization of spectrum detection in cognitive IoT using artificial physics

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Cited by 3 publications
(1 citation statement)
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“…After passing through the screening mechanism and dormancy, the scheduling mechanism and other relevant advanced technical means are combined to model the multi-objective analysis of cooperative spectrum detection [2]. By learning the knowledge of the initial population and using it as the research foundation of the experiment, the operation processing of the related theory of mutation operation is carried out, so that the results can be further summarized, and the scholars have proposed a faster solution to the multiobjective optimization problem of spectrum detection [3]. Efficient multi-objective differential evolution algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…After passing through the screening mechanism and dormancy, the scheduling mechanism and other relevant advanced technical means are combined to model the multi-objective analysis of cooperative spectrum detection [2]. By learning the knowledge of the initial population and using it as the research foundation of the experiment, the operation processing of the related theory of mutation operation is carried out, so that the results can be further summarized, and the scholars have proposed a faster solution to the multiobjective optimization problem of spectrum detection [3]. Efficient multi-objective differential evolution algorithm.…”
Section: Introductionmentioning
confidence: 99%