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    Article

    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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    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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    Article

    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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    Article

    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)