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    Article

    Mobile Signal Modulation Recognition Based on Multimodal Feature Fusion

    In mobile communication, automatic modulation recognition of mobile signals has always attracted attention. In the more and more complex electronic environment, the researchers are trying their best to deal wi...

    Zhuoran Cai, Yuqian Li, Qidi Wu in Mobile Networks and Applications (2022)

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    Semi-Supervised Subspace Learning for Pattern Classification via Robust Low Rank Constraint

    Feature subspace learning is a crucial issue in pattern analysis. However, it remains challenging when partial samples are unlabeled, which will cause weak discrimination. In this paper, we present a novel sem...

    Ao Li, Ruoqi An, Deyun Chen, Guanglu Sun, **n Liu in Mobile Networks and Applications (2020)

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    A naive optimization method for multi-line systems with alternative machines

    The scheduling of parallel machines and the optimization of multi-line systems are two hotspots in the field of complex manufacturing systems. When the two problems are considered simultaneously, the resulting...

    Weichang Kong, Fei Qiao, Qidi Wu in Frontiers of Mechanical Engineering (2019)

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    An ensemble bat algorithm for large-scale optimization

    It is difficult for the bat algorithm (BA) to retain good performance with increasing problem complexity and problem. In this paper, an ensemble BA is proposed to solve large-scale optimization problems (LSOPs...

    **ngjuan Cai, Jiangjiang Zhang, Hao Liang in International Journal of Machine Learning … (2019)

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    Key Technologies and Solutions of Remote Distributed Virtual Laboratory for E-Learning and E-Education

    As the world of technology offers a rapidly increasing number of outlets for creativity and communications, a worldwide education is undergoing a significant renovation. Today, students can have the access to ...

    Yun Lin, Sen Wang, Qidi Wu, Lei Chen in Mobile Networks and Applications (2019)

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    Hyper multi-objective evolutionary algorithm for multi-objective optimization problems

    Multi-objective optimization problems (MOPs) are very common in practice. To solve MOPs, many kinds of multi-objective evolutionary algorithms (MOEAs) are proposed. However, different MOEAs have different perf...

    Weian Guo, Ming Chen, Lei Wang, Qidi Wu in Soft Computing (2017)

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    A combined constraint handling framework: an empirical study

    This paper presents a new combined constraint handling framework (CCHF) for solving constrained optimization problems (COPs). The framework combines promising aspects of different constraint handling technique...

    Chengyong Si, Junjie Hu, Tian Lan, Lei Wang, Qidi Wu in Memetic Computing (2017)

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    A task-oriented modular and agent-based collaborative design mechanism for distributed product development

    The rapid expansion of enterprises makes product collaborative design (PCD) a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more c...

    **fei Liu, Ming Chen, Lei Wang, Qidi Wu in Chinese Journal of Mechanical Engineering (2014)

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    A novel memetic algorithm and its application to data clustering

    In this paper, a novel memetic algorithm (MA) named GS-MPSO is proposed by combining a particle swarm optimization (PSO) with a Gaussian mutation operator and a Simulated Annealing (SA)-based local search oper...

    JiaCheng Ni, Li Li, Fei Qiao, QiDi Wu in Memetic Computing (2013)