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                 [25]  Wang HD, Jin YC, Sun CL, Doherty J. Offline data-driven evolutionary optimization using selective surrogate ensembles. IEEE Trans.
                     on Evolutionary Computation, 2019, 23(2): 203–216. [doi: 10.1109/TEVC.2018.2834881]
                 [26]  Lin  QZ,  Wu  XF,  Ma  LJ,  Li  JQ,  Gong  MG,  Coello  CAC.  An  ensemble  surrogate-based  framework  for  expensive  multiobjective
                     evolutionary optimization. IEEE Trans. on Evolutionary Computation, 2022, 26(4): 631–645. [doi: 10.1109/TEVC.2021.3103936]
                 [27]  Gong DW, Sun BC, Yao XJ, Tian T. Test data generation for path coverage of MPI programs using SAEO. ACM Trans. on Software
                     Engineering and Methodology, 2021, 30(2): 17. [doi: 10.1145/3423132]
                 [28]  Song ZS, Wang HD, He C, Jin YC. A Kriging-assisted two-archive evolutionary algorithm for expensive many-objective optimization.
                     IEEE Trans. on Evolutionary Computation, 2021, 25(6): 1013–1027. [doi: 10.1109/TEVC.2021.3073648]
                 [29]  Tan Z, Wang HD. A kriging-assisted evolutionary algorithm using feature selection for expensive sparse multi-objective optimization. In:
                     Proc. of the 2020 IEEE Congress on Evolutionary Computation. Glasgow: IEEE, 2020. 1–8. [doi: 10.1109/CEC48606.2020.9185825]
                 [30]  Sun BC, Gong DW, Pan F, Yao XJ, Tian T. Evolutionary generation of test suites for multi-path coverage of MPI programs with non-
                     determinism. IEEE Trans. on Software Engineering, 2023, 49(6): 3504–3523. [doi: 10.1109/TSE.2023.3263509]
                 [31]  Li HB, Li SH, Benavides Z, Chen ZZ, Gupta R. COMPI: Concolic testing for MPI applications. In: Proc. of the 2018 IEEE Int’l Parallel
                     and Distributed Processing Symp. Vancouver: IEEE, 2018. 865–874. [doi: 10.1109/IPDPS.2018.00096]
                 [32]  Davies  T,  Karlsson  C,  Liu  H,  Ding  C,  Chen  ZZ.  High  performance  linpack  benchmark:  A  fault  tolerant  implementation  without
                     checkpointing. In: Proc. of the 2011 Int’l Conf. on Supercomputing. Tucson: ACM, 2011. 162–171. [doi: 10.1145/1995896.1995923]
                 [33]  Schaich D, DeGrand T. Parallel software for lattice N=4 supersymmetric Yang–Mills theory. Computer Physics Communications, 2015,
                     190: 200–212. [doi: 10.1016/j.cpc.2014.12.025]
                 [34]  Yu  HB.  Combining  symbolic  execution  and  model  checking  to  verify  MPI  programs.  In:  Proc.  of  the  40th  Int’l  Conf.  on  Software
                     Engineering: Companion. Gothenburg: IEEE, 2018. 527–529.
                 [35]  Darling AE, Carey L, Feng WC. The design, implementation, and evaluation of mpiBLAST. In: Proc. of ClusterWorld Conf. & Expo and
                     the 4th Int’l Conf. on Linux Clusters: The HPC Revolution. 2003. 13–15.
                 [36]  Igel C, Heidrich-Meisner V, Glasmachers T. Shark. The Journal of Machine Learning Research, 2008, 9: 993–996.
                 [37]  Das S, Suganthan PN. Differential evolution: A survey of the state-of-the-art. IEEE Trans. on Evolutionary Computation, 2011, 15(1):
                     4–31. [doi: 10.1109/TEVC.2010.2059031]
                 [38]  Brest J, Greiner S, Boskovic B, Mernik M, Zumer V. Self-adapting control parameters in differential evolution: A comparative study on
                     numerical benchmark problems. IEEE Trans. on Evolutionary Computation, 2006, 10(6): 646–657. [doi: 10.1109/TEVC.2006.872133]


                             孙百才(1990-), 男, 博士, CCF  专业会员, 主要             姚香娟(1975-), 女, 博士, 教授, 博士生导师,
                            研究领域为智能软件工程, 机器学习.                           CCF  高级会员, 主要研究领域为变异测试, 运筹
                                                                         优化.



                             巩敦卫(1970-), 男, 博士, 教授, 博士生导师,
                            CCF  杰出会员, 主要研究领域为智能软件工程,
                            智能优化理论及应用.
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