Computer Science ›› 2021, Vol. 48 ›› Issue (4): 254-260.doi: 10.11896/jsjkx.200600181
• Artificial Intelligence • Previous Articles Next Articles
YU Jia-shan, WU Lei
CLC Number:
[1]MIRJALILI S,GANDOMI A H,MIRJALILI S Z,et al.SalpSwarm Algorithm:A bio-inspired optimizer for engineering design problems [J].Advances in Engineering Software,2017,114:163-191. [2]AMITA S,VEENA S.Salp swarm algorithm-based model predictive controller for frequency regulation of solar integrated power system[J].Neural Computing and Applications,2019,31(12):8859-8870. [3]CHEN R,DONG C,YE Y,et al.QSSA:Quantum Evolutionary Salp Swarm Algorithm for Mechanical Design[J].IEEE Access,2019,7:145582-145595. [4]MAHDAD B,KAMEL S.New strategy based modified Salpswarm algorithm for optimal reactive power planning:a case study of the Algerian electrical system (114 bus)[J].IET Ge-neration,Transmission and Distribution,2019,13:4523-4540. [5]TAN L,HAN J,ZHANG H.Ultra-Short-Term Wind PowerPrediction by Salp Swarm Algorithm-Based Optimizing Extreme Learning Machine[J].IEEE Access,2020,8:44470-44484. [6]ZHANG J,WANG J S.Improved Salp Swarm Algorithm Based on Levy Flight and Sine Cosine Operator[J].IEEE Access,2020,8:99740-99771. [7]ZHAO X,YANG F,HAN Y,et al.An Opposition-Based Chao-tic Salp Swarm Algorithm for Global Optimization[J].IEEE Access,2020,8:36485-36501. [8]ZHANG Q,CHEN H L,ALIASGHAR H,et al.Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers[J].IEEE Access,2019,7:31243-31261. [9]TIAN L,LI Z,YAN X.Potential-Based Differential Evolution Algorithm With Joint Adaptation of Parameters and Strategies[J].IEEE Access,2020,8:100562-100577. [10]MIRJALILI S.SCA:a sine cosine algorithm for solving optimization problems[J].Knowledge-Based Systems,2016,96(3):120-133. [11]ZHANG Y Y,JIN Z G,CHEN Y.Hybridizing grey wolf optimization with neural network algorithm for global numerical optimization problems[J].Neural Computing and Applications,2020,32(14):10451-10470. [12]LIDA H,WANG Y.A whale optimization algorithm-trained artificial neural network for smart grid cyber intrusion detection[J].Neural Computing and Applications,2020,32(13):9427-9441. [13]YIN Z G,GONG L,DU C,et al.Integrated Position and Speed Loops Under Sliding-Mode Control Optimized by Differential Evolution Algorithm for PMSM Drives[J].IEEE Transactions on Power Electronics,2019,34(9):8994-9005. [14]WANG Z J,ZHAN Z H,LIN Y,et al.Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems[J].IEEE Transactions on Evolutionary Computation,2020,24(1):114-128. [15]VINICIUSVELOSO D,WOLFGANG B.Drone Squadron Optimization:a novel self-adaptive algorithm for global numerical optimization[J].Neural Computing and Applications,2018,30(10):3117-3144. [16]ALIASGHAR H,IBRAHIM A,HOSSAM F,et al.An en-hanced associative learning-based exploratory whale optimizer for global optimization[J].Neural Computing and Applications,2020,32(9):5185-5211. [17]ZHAO W G,WANG L Y,ZHANG Z X.Artificial ecosystem-based optimization:a novel nature-inspired meta-heuristic algorithm[J].Neural Computing and Applications,2020,32(13):9383-9425. [18]RYOJI T,ALEX F.Reviewing and Benchmarking ParameterControl Methods in Differential Evolution[J].IEEE Transactions on Cybernetics,2020,50(3):1170-1184. [19]KOMALPREET K,URVINDER S,ROHIT S.An enhancedmoth flame optimization[J].Neural Computing and Applications,2020,32(7):2315-2349. |
[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] | LUO Wen-cong, ZHENG Jia-li, QUAN Yi-xuan, XIE Xiao-de, LIN Zi-han. Optimized Deployment of RFID Reader Antenna Based on Improved Multi-objective Salp Swarm Algorithm [J]. Computer Science, 2021, 48(9): 292-297. |
[4] | ZHOU Chuan. Optimization of Sharing Bicycle Density Distribution Based on Improved Salp Swarm Algorithm [J]. Computer Science, 2021, 48(11A): 106-110. |
[5] | 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. |
[6] | ZHANG Yan, QIN Liang-xi. Improved Salp Swarm Algorithm Based on Levy Flight Strategy [J]. Computer Science, 2020, 47(7): 154-160. |
[7] | 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. |
[8] | LI Zhang-wei,WANG Liu-jing. Population Distribution-based Self-adaptive Differential Evolution Algorithm [J]. Computer Science, 2020, 47(2): 180-185. |
[9] | WANG Xuan, MAO Ying-chi, XIE Zai-peng, HUANG Qian. Inference Task Offloading Strategy Based on Differential Evolution [J]. Computer Science, 2020, 47(10): 256-262. |
[10] | DONG Ming-gang,LIU Bao,JING Chao. Multi-objective Differential Evolution Algorithm with Fuzzy Adaptive Ranking-based Mutation [J]. Computer Science, 2019, 46(7): 224-232. |
[11] | XIAO Peng, ZOU De-xuan, ZHANG Qiang. Efficient Dynamic Self-adaptive Differential Evolution Algorithm [J]. Computer Science, 2019, 46(6A): 124-132. |
[12] | NI Hong-jie, PENG Chun-xiang, ZHOU Xiao-gen, YU Li. Differential Evolution Algorithm with Stage-based Strategy Adaption [J]. Computer Science, 2019, 46(6A): 106-110. |
[13] | ZHANG Yu-pei, ZHAO Zhi-jin, ZHENG Shi-lian. Cognitive Decision Engine of Hybrid Learning Differential Evolution and Particle Swarm Optimization [J]. Computer Science, 2019, 46(6): 95-101. |
[14] | ZHAO Yun-tao, CHEN Jing-cheng, LI Wei-gang. Multi-objective Grey Wolf Optimization Hybrid Adaptive Differential Evolution Mechanism [J]. Computer Science, 2019, 46(11A): 83-88. |
[15] | YANG Xiao-hua, GAO Hai-yun. Improved Bayesian Algorithm Based Automatic Classification Method for Bibliography [J]. Computer Science, 2018, 45(8): 203-207. |
|