[1] 李德毅,刘常昱,杜鹢,等.不确定性人工智能[J].软件学报,2004,15(11):1583-1594.Li De-yi,Liu Chang-yu,Du Yi,et al.Artificialintel ligence with uncertainty[J].Journal of Software,2004,15(11):1583-1594.(in Chinese)
[2] 黎明,鲁方波,陈昊.基于多层信念空间的文化算法研究[J].电子学报,2015,43(5):888-894.Li Ming,Lu Fang-bo,Chen Hao.Cultural algorithm based on multi-layer belief space[J].Acta Electronica Sinica,2015,43(5):888-894.(in Chinese)
[3] 郑金华,喻果,贾月.基于权重迭代的偏好多目标分解算法解决参考点对算法影响的研究[J].电子学报,2016,44(1):67-76.Zheng Jinhua,Yu Guo,Jia Yue.Research on MOEA/D based on user-preference and alternate weight to solve the effect of reference point on multi-objective algorithms[J].Acta Electronica Sinica,2016,44(1):67-76.(in Chinese)
[4] 张宇山,郝志峰,黄翰,林智勇.进化算法首达时间分析的停时理论模型[J].计算机学报,2015,38(8):1582-1591.Zhang Yu-shan,Hao Zhi-feng,Huang Han,Lin Zhiyong.A stopping time theory model of first hitting time analysis of evolutionary algorithms[J].Chinese Journal of Computers,2015,38(8):1582-1591.(in Chinese)
[5] Arnold D V,H G Beyer.A comparison of evolution strategies with other direct search methods in the presence of noise[J].Computational Optimization & Applications,2003,24(1):135-159.
[6] 郝海青,马航,庄健.新型复杂进化全局优化算法的研究[J].电子学报,2013,41(4):704-709.Hao Hai-qing,Ma Hang,Zhuang Jian.The study of a new complex system evolutionary algorithm for global optimal problems[J].Acta Electronica Sinica,2013,41(4):704-709.(in Chinese)
[7] 何宏,谭永红.一种基于动态遗传算法的聚类新方法[J].电子学报,2012,40(2):254-259.He Hong,Tan Yong-hong.A novel clustering method based on dynamic genetic algorithm[J].Acta Electronica Sinica,2012,40(2):254-259.(in Chinese)
[8] 李军华,黎明.噪声环境下多模态函数优化的遗传算法[J].电子学报,2012,40(2):327-330.Li Jun-hua,Li Ming.Genetic algorithm for multi-modal function optimization in noisy environments[J].Acta Electronica Sinica,2012,40(2):327-330.(in Chinese)
[9] Shim V,Tan K C,Chia J,et al.Multi-objective optimization with Estimation of distribution algorithm in a noisy environment[J].Evolutionary Computation,2013,21(1):149-177.
[10] H Greiner.Robust optical coating design with evolution strategies[J].Applied Optics,1996,35(28):5477-5483.
[11] G Gopalakrishnan,B Minsker,D Goldberg.Optimal sampling in a noisy genetic algorithm for risk-based remediation design[J].Journal of Hydroinformatics,2003,5(1):11-25.
[12] J M Fitzpatrick,J J Greffenstette.Genetic algorithms in noisy environments[J].Machine Learning,1988,3(2-3):101-120.
[13] F Siegmund,A H C Ng,K Deb.Hybrid dynamic resampling for guided evolutionary multi-objective optimization[A].Proceedings of Evolutionary Multi-Criterion Optimization[C].Guimarles,Portugal:Springer International Publishing,2015.366-380.
[14] F Siegmund,A H C Ng,K Deb.A comparative study of dynamic resampling strategies for guided evolutionary multi-objective optimization[A].Proceedings of the IEEE Congress on Evolutionary Computation[C].Cancun,Mexico:IEEE,2013.1826-1835.
[15] Bo Liu,Qingfu Zhang,Francisco V Fernández,et al.An efficient evolutionary algorithm for chance-constrained bi-objective stochastic optimization[J].IEEE Transactions on Evolutionary Computation,2013,17(6):786-796.
[16] A Di Pietro,L While,L Barone.Applying evolutionary algorithms to problems with noisy,time-consuming fitness functions[A].Congress on Evolutionary Computation[C].San Diego,CA,USA:IEEE,2004.1254-1261.
[17] J Branke,C Schmidt,H Schmeck.Efficient fitness estimation in noisy environment[A].Proceedings of Genetic & Evolutionary Computation[C].San Mateo,CA:Morgan Kaufmann,2001.243-250.
[18] D V Arnold,H G Beyer,A general noise model and its effects on evolution strategy performance[J].IEEE Transactions on Evolutionary Computation,2006,10(4):380-391.
[19] J J Liang,B-Y Qu,P N Suganthan,et al.Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session and Competition on Real-Parameter Optimization[R].Zhengzhou China:Computational Intelligence Laboratory,Zhengzhou University,2013. |