[1] 周新宇,吴志健,等.一种精英反向学习的粒子群优化算法[J].电子学报,2013,41(8):1647-1652. Zhou Xin-yu,Wu Zhi-jian,et al.Elite opposition-based particle swarm optimization[J].Acta Electronica Sinica,2013,41(8):1647-1652.(in Chinese)
[2] 彭虎,吴志健,等.基于精英区域学习的动态差分进化算法[J].电子学报,2014,42(8):1522-1530. Peng Hu,Wu Zhi-jian,et al.Dynamic differential evolution algorithm based on elite local learning[J].Acta Electronica Sinica,2014,42(8):1522-1530.(in Chinese)
[3] 李康顺,韦蕴珊,等.小生境演化算法下的WDCT图像压缩方法[J].电子学报,2014,(4):809-814. Li Kang-shun,Wei Yun-shan,et al.WDCT image compre-ssion based on niching evolutionary algorithm[J].Acta Electronica Sinica,2014,42(4):809-814.(in Chinese)
[4] 郑金华,刘磊,等.一种自适应小生境分布性保持策略[J].电子学报,2012,40(11):2330-2335. Zheng Jin-hua,Liu Lei,et al.An adaptive niche for keeping the diversity of solutions in multi-objective evolutionary algorithm[J].Acta Electronica Sinica,2012,40(11):2330-2335.(in Chinese)
[5] Qu B Y,Suganthan P N,Liang J J.Differential evolution with neighborhood mutation for multimodal optimization[J].IEEE Transactions on Evolutionary Computation,2012,16(5):601-614.
[6] Hansen N,Ostermeier A.Completely derandomized self-adaptation in evolution strategies[J].Evolutionary Computation,2001,9(2):159-195.
[7] Hansen N.The CMA Evolution Strategy:A Comparing Review[M].Berlin:Springer,2006.75-102.
[8] Preuss M.Niching the CMA-ES via nearest-better clustering[A].Proceedings of the 12th Annual Conference Companion On Genetic and Evolutionary Computation[C].Portland:ACM,2010.1711-1718.
[9] Stoean C,Preuss M,Stoean R,et al.Multimodal optimization by means of a topological species conservation algorithm[J].IEEE Transactions on Evolutionary Computation,2010,14(6):842-864.
[10] Li X D,et al.Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multim-odal Function Optimization[R].Melbourne:RMIT University,Evolutionary Computation and Machine Learning Group,2013.1-10.
[11] Vitela J E,Castaños O.A sequential niching memetic algorithm for continuous multimodal function optimization[J].Applied Mathematics and Computation,2012,218(17):8242-8259.
[12] Pereira M W,et al.A topological niching covariance matrix adaptation for multimodal optimization[A].Proc of IEEE Congress on Evolutionary Computation[C].Betjing:IEEE,2014.2562-2569.
[13] Shir O M,Emmerich M,Back T.Adaptive niche radii and niche shapes approaches for niching with the CMA-ES[J].Evolutionary Computation,2010,18(1):97-126.
[14] Auger A,Hansen N.A restart CMA evolution strategy with increasing population size[A].Proc of IEEE Congress on Evolutionary Computation[C].Edinburgh,Scotland:IEEE,2005.1769-1776.
[15] Gao W,Yen G G,Liu S.A cluster-based differential evolution with self-adaptive strategy for multimodal optimization[J].IEEE Transactions on Cybernetics,2014,44(8):1314-1327.
[16] Qu B Y,Suganthan P N.A distance-based locally informed particle swarm model for multimodal optimization[J].IEEE Transactions on Evolutionary Computation,2013,17(3):387-402.
[17] Li X D.A Multimodal particle swarm optimizer based on fitness euclidean-distance ratio[A].Proc of The 9th Annual Conference on Genetic and Evolutionary Computation[C].London:ACM,2007.78-85.
[18] Bandaru S,Deb K.A parameterless-niching-assisted bi-objective approach to multimodal optimization[A].Proc of IEEE Congress on Evolutionary Computation[C].Cancun:IEEE,2013.95-102. |