Computer Science ›› 2019, Vol. 46 ›› Issue (11A): 83-88.
• Intelligent Computing • Previous Articles Next Articles
ZHAO Yun-tao, CHEN Jing-cheng, LI Wei-gang
CLC Number:
[1]王亚辉,吴金妹,贾晨辉.基于动态种群多策略差分进化模型的多目标进化算法[J].电子学报,2016,44(6):1472-1474. [2]周欢,孟利民,王丽萍,等.动态邻域的分解多目标进化算法[J].小型微型计算机系统,2017(9):2039-2044. [3]YE H T,LUO F,XU Y G.Differential evolution for solving multi-objective optimization problems:a survey of the state-of-the-art [J].Control Theory & Applications,2013,30(7):922-927. [4]刘宝,董明刚,敬超.改进的排序变异多目标差分进化算法[J].计算机应用,2018,38(8):2157-2163. [5]王福才,周鲁平.混合精英策略的元胞多目标遗传算法及其应用[J].电子学报,2015,38(7):1398-1405. [6]王国豪,李庆华,刘安丰.多目标最优化云工作流调度进化遗传算法[J].计算机科学,2018,45(5):38-44. [7]章恩泽,陈庆伟.改进的r支配高维多目标粒子群优化算法[J].控制理论与应用,2015,32(5):623-629. [8]MIRJALILI S,MIRJALILI S M,LEWIS A.Grey wolf optimizer[J].Advances in Engineering Software,2014,69(3),46-61. [9]陈闯,CHELLAI R,刑尹,等.采用动态权重和概率扰动策略改进的灰狼优化算法[J].计算机应用,2017,37(10):2854-2860. [10]张悦,孙惠香,魏政军,等.具有自适应调整策略的混沌灰狼优化算法[J].计算机科学,2017,44(11A):120-123. [11]白建川,夏克文,牛文佳,等.新型灰狼算法的粗糙集属性约简及应用[J].计算机工程与应用,2017,53(24):182-186. [12]徐辰华,李成县,喻昕,等.基于Cat混沌与高斯变异的改进灰狼优化算法[J].计算机工程与应用,2017,53(4):1-9. [13]胡小平,曹敬.改进灰狼优化算法在WSN节点部署中的应用[J].传感技术学报,2018,31(5):101-106. [14]MIRJALILI,SAREMI.Multi-objective grey wolf optimizer:Anovel algorithm for multi-criterion optimization [J].Expert Systems with Applications,2016,47:106-119. [15]李龙澍,翁晴晴.基于反向学习的自适应差分进化算法[J].计算机应用,2018,38(2):399-404. [16]赵志伟,杨景明,呼子宇,等.基于角度邻域的多目标差分进化算法[J].控制理论与应用,2017,34(1):22-29. [17]屈敏,高岳林,江巧永.基于Pareto邻域交叉算子的多目标粒子群优化算法[J].计算机应用,2011,31(7):1789-1792. [18]侯莹,韩红桂,乔俊飞.基于参数动态调整的多目标差分进化算法[J].控制与决策,2017,32(11):1986-1990. |
[1] | LI Dan-dan, WU Yu-xiang, ZHU Cong-cong, LI Zhong-kang. Improved Sparrow Search Algorithm Based on A Variety of Improved Strategies [J]. Computer Science, 2022, 49(6A): 217-222. |
[2] | LIU Bao-bao, YANG Jing-jing, TAO Lu, WANG He-ying. Study on Prediction of Educational Statistical Data Based on DE-LSTM Model [J]. Computer Science, 2022, 49(6A): 261-266. |
[3] | SUN Gang, WU Jiang-jiang, CHEN Hao, LI Jun, XU Shi-yuan. Hidden Preference-based Multi-objective Evolutionary Algorithm Based on Chebyshev Distance [J]. Computer Science, 2022, 49(6): 297-304. |
[4] | LI Hao-dong, HU Jie, FAN Qin-qin. Multimodal Multi-objective Optimization Based on Parallel Zoning Search and Its Application [J]. Computer Science, 2022, 49(5): 212-220. |
[5] | PENG Dong-yang, WANG Rui, HU Gu-yu, ZU Jia-chen, WANG Tian-feng. Fair Joint Optimization of QoE and Energy Efficiency in Caching Strategy for Videos [J]. Computer Science, 2022, 49(4): 312-320. |
[6] | GUAN Zheng, DENG Yang-lin, NIE Ren-can. Non-negative Matrix Factorization Based on Spectral Reconstruction Constraint for Hyperspectral and Panchromatic Image Fusion [J]. Computer Science, 2021, 48(9): 153-159. |
[7] | YU Jia-shan, WU Lei. Two Types of Leaders Salp Swarm Algorithm [J]. Computer Science, 2021, 48(4): 254-260. |
[8] | WANG Ke, QU Hua, ZHAO Ji-hong. Multi-objective Optimization Method Based on Reinforcement Learning in Multi-domain SFC Deployment [J]. Computer Science, 2021, 48(12): 324-330. |
[9] | CUI Guo-nan, WANG Li-song, KANG Jie-xiang, GAO Zhong-jie, WANG Hui, YIN Wei. Fuzzy Clustering Validity Index Combined with Multi-objective Optimization Algorithm and Its Application [J]. Computer Science, 2021, 48(10): 197-203. |
[10] | ZHU Han-qing, MA Wu-bin, ZHOU Hao-hao, WU Ya-hui, HUANG Hong-bin. Microservices User Requests Allocation Strategy Based on Improved Multi-objective Evolutionary Algorithms [J]. Computer Science, 2021, 48(10): 343-350. |
[11] | QUAN Yi-xuan, ZHENG Jia-li, LUO Wen-cong, LIN Zi-han, XIE Xiao-de. Improved Grey Wolf Optimizer for RFID Network Planning [J]. Computer Science, 2021, 48(1): 253-257. |
[12] | ZHANG Qing-qi, LIU Man-dan. Multi-objective Five-elements Cycle Optimization Algorithm for Complex Network Community Discovery [J]. Computer Science, 2020, 47(8): 284-290. |
[13] | ZHANG Zhi-qiang, LU Xiao-feng, SUI Lian-sheng, LI Jun-huai. Salp Swarm Algorithm with Random Inertia Weight and Differential Mutation Operator [J]. Computer Science, 2020, 47(8): 297-301. |
[14] | HOU Gai, HE Lang, HUANG Zhang-can, WANG Zhan-zhan, TAN Qing. Pyramid Evolution Strategy Based on Differential Evolution for Solving One-dimensional Cutting Stock Problem [J]. Computer Science, 2020, 47(7): 166-170. |
[15] | ZHENG You-lian, LEI De-ming, ZHENG Qiao-xian. Novel Artificial Bee Colony Algorithm for Solving Many-objective Scheduling [J]. Computer Science, 2020, 47(7): 186-191. |
|