摩杰登录
发布时间:2024-06-18 21:11:36点击量:
[1] 陈瑶,陈思.动态权重的蝙蝠算法在图像分割中的应用研究[J].计算机工程与应用,2020,56(14):207-215. CHEN Y,CHEN S.Research on application of dynamic weighted bat algorithm in image segmentation[J].Computer Engineering and Applications,2020,56(14):207-215. [2] 林诗洁,董晨,陈明志,等.新型群智能优化算法综述[J].计算机工程与应用,2018,54(12):1-9. LIN S J,DONG C,CHEN M Z,et al.Summary of new group intelligent optimization algorithms[J].Computer Engineering and Applications,2018,54(12):1-9. [3] GONG G,CHIONG R,DENG Q,et al.A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility[J].International Journal of Production Research,2019,58(14):4406-4420. [4] THARWAT A,ELHOSENY M,HASSANIEN A E,et al.Intelligent bézier curve-based path planning model using chaotic particle swarm optimization algorithm[J].Cluster Computing,2018,22(4):1-22. [5] 廖玮霖,程杉,尚冬冬,等.多策略融合的粒子群优化算法[J].计算机工程与应用,2021,57(1):69-76. LIAO W L,CHENG S,SHANG D D,et al.Particle swarm optimization algorithm integrated with multiple-strategies[J].Computer Engineering and Applications,2021,57(1):69-76. [6] KARABOGA D,BASTURK B,BASTURK B.A Powerful and efficient algorithm for numerical function optimization:Artificial Bee Colony(ABC) algorithm[J].Journal of Global Optimization,2007,39(3):459-471. [7] MIRJALILI S,MIRJALILI S M,LEWIS A.Grey wolf optimizer[J].Advances in Engineering Software,2014,69:46-61. [8] MIRJALILI S,LEWIS A.The whale optimization algorithm[J].Advances in Engineering Software,2016,95:51-67. [9] 武泽权,牟永敏.一种改进的鲸鱼优化算法[J].计算机应用研究,2020,37(12):3618-3621. WU Z Q,MU Y M.Improved whale optimization algorithm[J].Application Research of Computers,2020,37(12):3618-3621. [10] SEYED M B,SAMANEH Y.IWOA:An improved whale optimization algorithm for optimization problems[J].Journal of Computational Design and Engineering,2019,6(3):243-259. [11] KAUR G,ARORA S.Chaotic whale optimization algorithm[J].Journal of Computational Design and Engineering,2018,5(3):275-284. [12] 郝晓弘,宋吉祥,周强,等.混合策略改进的鲸鱼优化算法[J].计算机应用研究,2020,37(12):3622-3626. HAO X H,SONG J X,ZHOU Q,et al.Improved whale optimization algorithm based on hybrid strategy[J].Application Research of Computers,2020,37(12):3622-3626. [13] 张水平,高栋.动态搜索和协同进化的鲸鱼优化算法[J].计算机应用研究,2020,37(9):2645-2650. ZHANG S P,GAO D.Dynamic search and cooperative learning for whale optimization algorithm[J].Application Research of Computers,2020,37(9):2645-2650. [14] 何庆,林杰,徐航.混合柯西变异和均匀分布的蝗虫优化算法[J].控制与决策,2021,36(7):1558-1568. HE Q,LIN J,XU H.Hybrid cauchy mutation and uniform distribution of grasshopper optimization algorithm[J].Control and Decision,2021,36(7):1558-1568. [15] 刘晓航,贺金川,郑山锁,等.基于拟蒙特卡罗法的电力系统抗震可靠性研究[J].华中科技大学学报(自然科学版),2020,48(9):119-125. LIU X H,HE J C,ZHEN S S,et al.Research on seismic reliability of power system based on quasi-monte carlo method[J].Journal Huazhong University of Science & Technology(Natural Science Edition),2020,48(9):119-125. [16] 毕晓君,李月,陈春雨.基于混合策略的自适应教与学优化算法[J].哈尔滨工程大学学报,2016,37(6):842-848. BI X J,LI Y,CHEN C Y.A self-adaptive teaching-and-learning?based optimization algorithm with a mixed strategy[J].Journal of Harbin Engineering University,2016,37(6):842-848. [17] SEYEDALI M,AMIR H G,SEYEDEH Z M,et al.Salp swarm algorithm:A bio-inspired optimizer for engineering design problems[J].Advances in Engineering Software,2017,114:163-191. [18] WANG H,WANG W,CUI Z,et al.A new dynamic firefly algorithm for demand estimation of water resources[J].Information Sciences,2018,438:95-106. |