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In order to establish a more reliable and robust EEG model in sleep stages, the reasonable choice of modeling parameters is necessary. The function of this step is to select a subset of d features from a set of D features based on some optimization criterion, and provide the most optimal input features of classification. In the present study, an improved simulated annealing genetic algorithm (ISAGA)...
Assembly Sequence Planning (ASP) is a NP-hard combinatorial problem. In order to reduce computational complexity, this paper proposes a novel assembly sequence planning approach based on Graduated NonConvexity and Concavity Procedure (GNCPP), a general optimization framework which approximately solve the combinatorial optimization problems defined on the set of partial permutation matrices. The mathematical...
Cognitive radio networks (CRNs) significantly improve spectrum utilization efficiency by allowing secondary users (SUs) to opportunistically share unused spectrum bands with primary users (PUs). In this paper, we present a spectrum assignment model and propose a genetic algorithm (GA) and a heuristic algorithm to determine the proper spectrum assignment, which optimizes the SUs' reward and the network...
In this paper, we present a new algorithm named Election campaign algorithm (ECA) for the multimodal function optimization. It acts by simulating the behavior that the election candidates pursue the highest support in election campaign. The proposed approaches are validated using test functions taken from the specialized literature, and our results are compared with those obtained by genetic algorithm...
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