Year |
Citation |
Score |
2020 |
Ma L, Cheng S, Shi Y. Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design Ieee Transactions On Systems, Man, and Cybernetics. 1-20. DOI: 10.1109/Tsmc.2020.2963943 |
0.571 |
|
2020 |
Hussain K, Salleh MNM, Cheng S, Shi Y, Naseem R. Artificial bee colony algorithm: A component-wise analysis using diversity measurement Journal of King Saud University - Computer and Information Sciences. 32: 794-808. DOI: 10.1016/J.Jksuci.2018.09.017 |
0.702 |
|
2020 |
Lu H, Liu Y, Cheng S, Shi Y. Adaptive online data-driven closed-loop parameter control strategy for swarm intelligence algorithm Information Sciences. 536: 25-52. DOI: 10.1016/J.Ins.2020.05.016 |
0.752 |
|
2020 |
Ma L, Wang R, Chen S, Cheng S, Wang X, Lin Z, Shi Y, Huang M. A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model Information Sciences. 509: 437-456. DOI: 10.1016/J.Ins.2019.01.030 |
0.691 |
|
2020 |
Cheng S, Ma L, Lu H, Lei X, Shi Y. Evolutionary computation for solving search-based data analytics problems Artificial Intelligence Review. 1-28. DOI: 10.1007/S10462-020-09882-X |
0.661 |
|
2019 |
Zhang Y, Cheng S, Shi Y, Gong D, Zhao X. Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm Expert Systems With Applications. 137: 46-58. DOI: 10.1016/J.Eswa.2019.06.044 |
0.681 |
|
2019 |
Chu X, Gao D, Cheng S, Wu L, Chen J, Shi Y, Qin Q. Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm Computers & Industrial Engineering. 136: 381-396. DOI: 10.1016/J.Cie.2019.07.028 |
0.666 |
|
2019 |
Lu H, Zhou R, Cheng S, Shi Y. Multi-center variable-scale search algorithm for combinatorial optimization problems with the multimodal property Applied Soft Computing. 84: 105726. DOI: 10.1016/J.Asoc.2019.105726 |
0.738 |
|
2019 |
Cheng S, Lei X, Lu H, Zhang Y, Shi Y. Generalized pigeon-inspired optimization algorithms Science in China Series F: Information Sciences. 62: 70211. DOI: 10.1007/S11432-018-9727-Y |
0.727 |
|
2019 |
Hussain K, Salleh MNM, Cheng S, Shi Y. Metaheuristic research: a comprehensive survey Artificial Intelligence Review. 52: 2191-2233. DOI: 10.1007/S10462-017-9605-Z |
0.653 |
|
2019 |
Hussain K, Salleh MNM, Cheng S, Shi Y. On the exploration and exploitation in popular swarm-based metaheuristic algorithms Neural Computing and Applications. 31: 7665-7683. DOI: 10.1007/S00521-018-3592-0 |
0.762 |
|
2018 |
Fang M, Lei X, Cheng S, Shi Y, Wu FX. Feature Selection via Swarm Intelligence for Determining Protein Essentiality. Molecules (Basel, Switzerland). 23. PMID 29958434 DOI: 10.3390/Molecules23071569 |
0.621 |
|
2018 |
Hussain K, Salleh MNM, Prasetyo YA, Cheng S. Personal Best Cuckoo Search Algorithm for Global Optimization International Journal On Advanced Science, Engineering and Information Technology. 8: 1209-1217. DOI: 10.18517/Ijaseit.8.4.5009 |
0.637 |
|
2018 |
Cheng S, Chen J, Qin Q, Shi Y. Population diversity of particle swarm optimisation algorithms for solving multimodal optimisation problems International Journal of Computational Science and Engineering. 17: 69-79. DOI: 10.1504/Ijcse.2018.10015539 |
0.738 |
|
2018 |
Cheng S, Chen J, Lei X, Shi Y. Locating Multiple Optima via Brain Storm Optimization Algorithms Ieee Access. 6: 17039-17049. DOI: 10.1109/Access.2018.2811542 |
0.758 |
|
2018 |
Lei X, Zhang Y, Cheng S, Wu F, Pedrycz W. Topology potential based seed-growth method to identify protein complexes on dynamic PPI data Information Sciences. 425: 140-153. DOI: 10.1016/J.Ins.2017.10.013 |
0.376 |
|
2018 |
Cheng S, Lu H, Lei X, Shi Y. A quarter century of particle swarm optimization Complex & Intelligent Systems. 4: 227-239. DOI: 10.1007/S40747-018-0071-2 |
0.757 |
|
2018 |
Cheng S, Shi Y. Thematic issue on “Brain Storm Optimization Algorithms” Memetic Computing. 10: 351-352. DOI: 10.1007/S12293-018-0276-3 |
0.619 |
|
2018 |
Yu Y, Gao S, Cheng S, Wang Y, Song S, Yuan F. CBSO: a memetic brain storm optimization with chaotic local search Memetic Computing. 10: 353-367. DOI: 10.1007/S12293-017-0247-0 |
0.499 |
|
2017 |
Liu B, Cheng S. State space model-based trust evaluation over wireless sensor networks: an iterative particle filter approach The Journal of Engineering. 2017: 101-109. DOI: 10.1049/Joe.2016.0373 |
0.375 |
|
2017 |
Ma L, Cheng S, Wang X, Huang M, Shen H, He X, Shi Y. Cooperative two-engine multi-objective bee foraging algorithm with reinforcement learning Knowledge Based Systems. 133: 278-293. DOI: 10.1016/J.Knosys.2017.07.024 |
0.675 |
|
2017 |
Qin Q, Cheng S, Chu X, Lei X, Shi Y. Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization Applied Soft Computing. 59: 229-242. DOI: 10.1016/J.Asoc.2017.05.034 |
0.722 |
|
2016 |
Cheng S, Zhang Q, Qin Q. Big data analytics with swarm intelligence Industrial Management and Data Systems. 116: 646-666. DOI: 10.1108/Imds-06-2015-0222 |
0.434 |
|
2016 |
Chen J, Xie Y, Chen H, Yang Q, Cheng S, Shi Y. An improved extremal optimization based on the distribution knowledge of candidate solutions Natural Computing. 1-15. DOI: 10.1007/S11047-016-9551-8 |
0.722 |
|
2016 |
Cheng S, Qin Q, Chen J, Shi Y. Brain storm optimization algorithm: a review Artificial Intelligence Review. 46: 445-458. DOI: 10.1007/S10462-016-9471-0 |
0.735 |
|
2015 |
Qin Q, Cheng S, Zhang Q, Li L, Shi Y. Particle Swarm Optimization With Interswarm Interactive Learning Strategy. Ieee Transactions On Cybernetics. PMID 26357418 DOI: 10.1109/Tcyb.2015.2474153 |
0.702 |
|
2015 |
Qin Q, Cheng S, Shi Y, Chen J, Zhang Q. Analytics on Fireworks Algorithm Solving Problems with Shifts in the Decision Space and Objective Space International Journal of Swarm Intelligence Research. 6: 52-86. DOI: 10.4018/Ijsir.2015040103 |
0.694 |
|
2015 |
Qin Q, Cheng S, Zhang Q, Li L, Shi Y. Artificial Bee Colony Algorithm with Time-Varying Strategy Discrete Dynamics in Nature and Society. 2015: 1-17. DOI: 10.1155/2015/674595 |
0.708 |
|
2015 |
Qin Q, Cheng S, Zhang Q, Wei Y, Shi Y. Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization Computers & Operations Research. 60: 91-110. DOI: 10.1016/J.Cor.2015.02.008 |
0.722 |
|
2015 |
Qin Q, Cheng S, Zhang Q, Li L, Shi Y. Biomimicry of parasitic behavior in a coevolutionary particle swarm optimization algorithm for global optimization Applied Soft Computing Journal. 32: 224-240. DOI: 10.1016/J.Asoc.2015.03.050 |
0.622 |
|
2013 |
Wu Z, Chow TWS, Cheng S, Shi Y. Contour Gradient Optimization International Journal of Swarm Intelligence Research. 4: 1-28. DOI: 10.4018/Jsir.2013040101 |
0.744 |
|
2013 |
Cheng S, Shi Y, Qin Q. A Study of Normalized Population Diversity in Particle Swarm Optimization International Journal of Swarm Intelligence Research. 4: 1-34. DOI: 10.4018/Jsir.2013010101 |
0.657 |
|
2012 |
Cheng S, Shi Y, Qin Q. Population Diversity of Particle Swarm Optimizer Solving Single and Multi-Objective Problems International Journal of Swarm Intelligence Research. 3: 23-60. DOI: 10.4018/Jsir.2012100102 |
0.752 |
|
2011 |
Shi Y, Cheng S, Qin Q. Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization: From Population Diversity Perspective International Journal of Swarm Intelligence Research. 2: 43-69. DOI: 10.4018/Jsir.2011070104 |
0.716 |
|
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