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432 工程科学学报,第43卷,第3期 [18]Kadhar K M A,Baskar S,Amali S M J.Diversity controlled self [26]Al-Dabbagh R D,Neri F,Idris N,et al.Algorithmic design issues adaptive differential evolution based design of non-fragile in adaptive differential evolution schemes:review and taxonomy. multivariable PI controller.Eng Appl Artif Intell,2015,46:209 Swarm Evol Comput,2018,43:284 [19]Sakr W S,El-Sehiemy R A,Azmy A M.Adaptive differential [27]Das S,Mullick S S,Suganthan P N.Recent advances in evolution algorithm for efficient reactive power management.Appl differential evolution-an updated survey.Swarm Evol Comput, Soft Comput,.2017,53:336 2016,27:1 [20]Wu G H,Mallipeddi R,Suganthan P N,et al.Differential [28]Tang L X,Zhao Y,Liu J Y.An improved differential evolution evolution with multi-population based ensemble of mutation algorithm for practical dynamic scheduling in steelmaking- strategies.Inform Sci,2016,329:329 continuous casting production.IEEE Trans Evol Comput,2014. [21]Zhou X G,Zhang G J,Hao X H,et al.Differential evolution with 18(2):209 multi-stage strategies for global optimization//2016 IEEE [29]Ning S S,Wang W,Liu Q L.An optimal scheduling algorithm for Congress on Evolutionary Computation.Vancouver,2016:2550 reheating furnace in steel production.Control Decis,2006, [22]Guo Q X,Tang L X.Modelling and discrete differential evolution 21(10):1138 algorithm for order rescheduling problem in steel industry.Compur (宁树实,王伟,刘全利.钢铁生产中的加热炉优化调度算法研 ndEg,2019,130:586 究.控制与决策,2006,21(10):1138) [23]Dong Y,Zhao R.Solve train stowage planning problem of steel [30]Tan YY,Song J H,Liu S X.Model and algorithm for scheduling coil using a pointer-based discrete differential evolution.IntJ Prod reheating fumace.Control Theory Appl,2011,28(11):1549 Res,2018,56(22):6937 (谭园园,宋健海,刘士新.加热炉优化调度模型及算法研究.控 [24]Xia Q,Wang X P,Tang L X.Fumace operation optimization with 制理论与应用,2011,28(11):1549) hybrid model based on mechanism and data analytics.Sof [31]Liu J,Liu Q,Wang B,et al.Research on configuration and Comput,2019,23:9551 scheduling optimization for heating furnace process.China Metall, [25]Ghosh A,Das S.Chowdhury A,et al.An improved differential 2014,24(11):53 evolution algorithm with fitness-based adaptation of the control (刘健,刘青,王彬,等.加热炉工序的配置与调度优化研究.中 parameters.Inform Sci,2011,181(18):3749 国冶金,2014,24(11):53)Kadhar K M A, Baskar S, Amali S M J. Diversity controlled self adaptive  differential  evolution  based  design  of  non-fragile multivariable PI controller. Eng Appl Artif Intell, 2015, 46: 209 [18] Sakr  W  S,  El-Sehiemy  R  A,  Azmy  A  M.  Adaptive  differential evolution algorithm for efficient reactive power management. Appl Soft Comput, 2017, 53: 336 [19] Wu  G  H,  Mallipeddi  R,  Suganthan  P  N,  et  al.  Differential evolution  with  multi-population  based  ensemble  of  mutation strategies. Inform Sci, 2016, 329: 329 [20] Zhou X G, Zhang G J, Hao X H, et al. Differential evolution with multi-stage  strategies  for  global  optimization//2016 IEEE Congress on Evolutionary Computation. Vancouver, 2016: 2550 [21] Guo Q X, Tang L X. Modelling and discrete differential evolution algorithm for order rescheduling problem in steel industry. Comput Ind Eng, 2019, 130: 586 [22] Dong  Y,  Zhao  R.  Solve  train  stowage  planning  problem  of  steel coil using a pointer-based discrete differential evolution. Int J Prod Res, 2018, 56(22): 6937 [23] Xia Q, Wang X P, Tang L X. Furnace operation optimization with hybrid  model  based  on  mechanism  and  data  analytics. Soft Comput, 2019, 23: 9551 [24] Ghosh  A,  Das  S,  Chowdhury  A,  et  al.  An  improved  differential evolution  algorithm  with  fitness-based  adaptation  of  the  control parameters. Inform Sci, 2011, 181(18): 3749 [25] Al-Dabbagh R D, Neri F, Idris N, et al. Algorithmic design issues in adaptive differential evolution schemes: review and taxonomy. Swarm Evol Comput, 2018, 43: 284 [26] Das  S,  Mullick  S  S,  Suganthan  P  N.  Recent  advances  in differential  evolution –an  updated  survey. Swarm Evol Comput, 2016, 27: 1 [27] Tang  L  X,  Zhao  Y,  Liu  J  Y.  An  improved  differential  evolution algorithm  for  practical  dynamic  scheduling  in  steelmaking￾continuous  casting  production. IEEE Trans Evol Comput,  2014, 18(2): 209 [28] Ning S S, Wang W, Liu Q L. An optimal scheduling algorithm for reheating  furnace  in  steel  production. Control Decis,  2006, 21(10): 1138 (宁树实, 王伟, 刘全利. 钢铁生产中的加热炉优化调度算法研 究. 控制与决策, 2006, 21(10):1138) [29] Tan Y Y, Song J H, Liu S X. Model and algorithm for scheduling reheating furnace. Control Theory Appl, 2011, 28(11): 1549 (谭园园, 宋健海, 刘士新. 加热炉优化调度模型及算法研究. 控 制理论与应用, 2011, 28(11):1549) [30] Liu  J,  Liu  Q,  Wang  B,  et  al.  Research  on  configuration  and scheduling optimization for heating furnace process. China Metall, 2014, 24(11): 53 (刘健, 刘青, 王彬, 等. 加热炉工序的配置与调度优化研究. 中 国冶金, 2014, 24(11):53) [31] · 432 · 工程科学学报,第 43 卷,第 3 期
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