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    Chapter and Conference Paper

    A Novel Data-Driven Fault Diagnosis Method Based on Deep Learning

    Mechanical fault diagnosis is an essential means to reduce maintenance cost and ensure safety in production. Aiming to improve diagnosis accuracy, this paper proposes a novel data-driven diagnosis method based...

    Yuyan Zhang, Liang Gao, **nyu Li, Peigen Li in Data Mining and Big Data (2017)

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    Chapter and Conference Paper

    Multi-Objective Optimization for Dynamic Single-Machine Scheduling

    In this paper, a multi-objective evolutionary algorithm based on gene expression programming (MOGEP) is proposed to construct scheduling rules (SRs) for dynamic single-machine scheduling problem (DSMSP) with j...

    Li Nie, Liang Gao, Peigen Li, **aojuan Wang in Advances in Swarm Intelligence (2011)

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    Chapter and Conference Paper

    A New Hybrid GA/SA Algorithm for the Job Shop Scheduling Problem

    Among the modern heuristic methods, simulated annealing (SA) and genetic algorithms (GA) represent powerful combinatorial optimization methods with complementary strengths and weaknesses. Borrowing from the re...

    Chaoyong Zhang, Peigen Li, Yunqing Rao… in Evolutionary Computation in Combinatorial … (2005)