| Year |
Citation |
Score |
| 2021 |
Zhao Q, Yan B, Shi Y, Middendorf M. Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process. Ieee Transactions On Cybernetics. PMID 33729970 DOI: 10.1109/TCYB.2021.3059252 |
0.41 |
|
| 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 |
0.558 |
|
| 2020 |
Duan H, Huo M, Shi Y. Limit Cycle Based Mutant Multi Objective Pigeon Inspired Optimization Ieee Transactions On Evolutionary Computation. 1-1. DOI: 10.1109/Tevc.2020.2983311 |
0.363 |
|
| 2020 |
Shen Y, Liu M, Yang J, Shi Y, Middendorf M. A Hybrid Swarm Intelligence Algorithm for Vehicle Routing Problem With Time Windows Ieee Access. 8: 93882-93893. DOI: 10.1109/Access.2020.2984660 |
0.463 |
|
| 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 |
0.673 |
|
| 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 |
0.722 |
|
| 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 |
0.663 |
|
| 2020 |
Yang J, Shen Y, Shi Y. Visual fixation prediction with incomplete attention map based on brain storm optimization Applied Soft Computing. 96: 106653. DOI: 10.1016/J.Asoc.2020.106653 |
0.351 |
|
| 2020 |
Sun L, Lyu C, Shi Y. Cooperative coevolution of real predator robots and virtual robots in the pursuit domain Applied Soft Computing. 89: 106098. DOI: 10.1016/J.Asoc.2020.106098 |
0.323 |
|
| 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 |
0.638 |
|
| 2020 |
Chu X, Wu T, Weir JD, Shi Y, Niu B, Li L. Learning–interaction–diversification framework for swarm intelligence optimizers: a unified perspective Neural Computing and Applications. 32: 1789-1809. DOI: 10.1007/S00521-018-3657-0 |
0.517 |
|
| 2019 |
Lyu C, Shi Y, Sun L. A Novel Local Community Detection Method Using Evolutionary Computation. Ieee Transactions On Cybernetics. PMID 31449039 DOI: 10.1109/Tcyb.2019.2933041 |
0.377 |
|
| 2019 |
Duan H, Huo M, Yang Z, Shi Y, Luo Q. Predator-Prey Pigeon-Inspired Optimization for UAV ALS Longitudinal Parameters Tuning Ieee Transactions On Aerospace and Electronic Systems. 55: 2347-2358. DOI: 10.1109/Taes.2018.2886612 |
0.481 |
|
| 2019 |
Pourpanah F, Lim CP, Wang X, Tan CJ, Seera M, Shi Y. A hybrid model of fuzzy min–max and brain storm optimization for feature selection and data classification Neurocomputing. 333: 440-451. DOI: 10.1016/J.Neucom.2019.01.011 |
0.459 |
|
| 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 |
0.652 |
|
| 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 |
0.639 |
|
| 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 |
0.702 |
|
| 2019 |
Pourpanah F, Shi Y, Lim CP, Hao Q, Tan CJ. Feature selection based on brain storm optimization for data classification Applied Soft Computing. 80: 761-775. DOI: 10.1016/J.Asoc.2019.04.037 |
0.46 |
|
| 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 |
0.694 |
|
| 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 |
0.63 |
|
| 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 |
0.733 |
|
| 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 |
0.601 |
|
| 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 |
0.714 |
|
| 2018 |
Tan Y, Shi Y. Special Section on Swarm-Based Algorithms and Applications in Computational Biology and Bioinformatics Ieee/Acm Transactions On Computational Biology and Bioinformatics. 15: 1863-1864. DOI: 10.1109/Tcbb.2018.2879422 |
0.469 |
|
| 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 |
0.721 |
|
| 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 |
0.739 |
|
| 2018 |
Cheng S, Shi Y. Thematic issue on “Brain Storm Optimization Algorithms” Memetic Computing. 10: 351-352. DOI: 10.1007/S12293-018-0276-3 |
0.607 |
|
| 2018 |
Duan H, Zhang D, Shi Y, Deng Y. Close formation flight of swarm unmanned aerial vehicles via metric-distance brain storm optimization Memetic Computing. 10: 369-381. DOI: 10.1007/S12293-018-0251-Z |
0.459 |
|
| 2018 |
Zhang G, Li Y, Shi Y. Distributed learning particle swarm optimizer for global optimization of multimodal problems Frontiers of Computer Science in China. 12: 122-134. DOI: 10.1007/S11704-016-5373-1 |
0.539 |
|
| 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 |
0.651 |
|
| 2017 |
Chen Y, Li L, Peng H, Xiao J, Yang Y, Shi Y. Particle swarm optimizer with two differential mutation Applied Soft Computing. 61: 314-330. DOI: 10.1016/J.Asoc.2017.07.020 |
0.384 |
|
| 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 |
0.698 |
|
| 2016 |
Jia Z, Duan H, Shi Y. Hybrid brain storm optimisation and simulated annealing algorithm for continuous optimisation problems International Journal of Bio-Inspired Computation. 8: 109-121. DOI: 10.1504/Ijbic.2016.076326 |
0.512 |
|
| 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 |
0.696 |
|
| 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 |
0.703 |
|
| 2015 |
Gong YJ, Li JJ, Zhou Y, Li Y, Chung HS, Shi YH, Zhang J. Genetic Learning Particle Swarm Optimization. Ieee Transactions On Cybernetics. PMID 26394440 DOI: 10.1109/Tcyb.2015.2475174 |
0.509 |
|
| 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 |
0.69 |
|
| 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 |
0.662 |
|
| 2015 |
Cao Z, Hei X, Wang L, Shi Y, Rong X. An Improved Brain Storm Optimization with Differential Evolution Strategy for Applications of ANNs Mathematical Problems in Engineering. 2015. DOI: 10.1155/2015/923698 |
0.538 |
|
| 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 |
0.674 |
|
| 2015 |
Duan H, Li P, Shi Y, Zhang X, Sun C. Interactive learning environment for bio-inspired optimization algorithms for UAV path planning Ieee Transactions On Education. 58: 276-281. DOI: 10.1109/Te.2015.2402196 |
0.399 |
|
| 2015 |
Qiu H, Duan H, Shi Y. A decoupling receding horizon search approach to agent routing and optical sensor tasking based on brain storm optimization Optik. 126: 690-696. DOI: 10.1016/J.Ijleo.2015.02.004 |
0.479 |
|
| 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 |
0.709 |
|
| 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 |
0.625 |
|
| 2015 |
Sun J, Wu X, Palade V, Fang W, Shi Y. Random drift particle swarm optimization algorithm: convergence analysis and parameter selection Machine Learning. 101: 345-376. DOI: 10.1007/S10994-015-5522-Z |
0.545 |
|
| 2014 |
Shi Y. Developmental Swarm Intelligence: Developmental Learning Perspective of Swarm Intelligence Algorithms International Journal of Swarm Intelligence Research. 5: 36-54. DOI: 10.4018/Ijsir.2014010102 |
0.488 |
|
| 2014 |
Wu C, Zhang Y, Shi Y, Zhao L, Xin M. Sparse FIR filter design using binary particle swarm optimization Ieice Transactions On Fundamentals of Electronics, Communications and Computer Sciences. 2653-2657. DOI: 10.1587/Transfun.E97.A.2653 |
0.359 |
|
| 2013 |
Zhan ZH, Li J, Cao J, Zhang J, Chung HS, Shi YH. Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems. Ieee Transactions On Cybernetics. 43: 445-63. PMID 22907971 DOI: 10.1109/Tsmcb.2012.2209115 |
0.517 |
|
| 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 |
0.712 |
|
| 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 |
0.644 |
|
| 2013 |
Shi Y, Xue J, Wu Y. Multi-Objective Optimization Based on Brain Storm Optimization Algorithm International Journal of Swarm Intelligence Research. 4: 1-21. DOI: 10.4018/Ijsir.2013070101 |
0.552 |
|
| 2013 |
Duan H, Li S, Shi Y. Predator–Prey Brain Storm Optimization for DC Brushless Motor Ieee Transactions On Magnetics. 49: 5336-5340. DOI: 10.1109/Tmag.2013.2262296 |
0.478 |
|
| 2013 |
Zhong J, Shen M, Zhang J, Chung HS, Shi Y, Li Y. A Differential Evolution Algorithm With Dual Populations for Solving Periodic Railway Timetable Scheduling Problem Ieee Transactions On Evolutionary Computation. 17: 512-527. DOI: 10.1109/Tevc.2012.2206394 |
0.483 |
|
| 2013 |
Chen W, Zhang J, Lin Y, Chen N, Zhan Z, Chung HS, Li Y, Shi Y. Particle Swarm Optimization With an Aging Leader and Challengers Ieee Transactions On Evolutionary Computation. 17: 241-258. DOI: 10.1109/Tevc.2011.2173577 |
0.422 |
|
| 2013 |
Sun C, Duan H, Shi Y. Optimal Satellite Formation Reconfiguration Based on Closed-Loop Brain Storm Optimization Ieee Computational Intelligence Magazine. 8: 39-51. DOI: 10.1109/Mci.2013.2279560 |
0.529 |
|
| 2013 |
Duan H, Luo Q, Shi Y, Ma G. ?Hybrid Particle Swarm Optimization and Genetic Algorithm for Multi-UAV Formation Reconfiguration Ieee Computational Intelligence Magazine. 8: 16-27. DOI: 10.1109/Mci.2013.2264577 |
0.567 |
|
| 2013 |
Lou Y, Li J, Shi Y, Jin L. Gravitational Co-evolution and Opposition-based Optimization Algorithm International Journal of Computational Intelligence Systems. 6: 849-861. DOI: 10.1080/18756891.2013.805590 |
0.588 |
|
| 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 |
0.723 |
|
| 2012 |
Gong Y, Zhang J, Chung HS, Chen W, Zhan Z, Li Y, Shi Y. An Efficient Resource Allocation Scheme Using Particle Swarm Optimization Ieee Transactions On Evolutionary Computation. 16: 801-816. DOI: 10.1109/Tevc.2012.2185052 |
0.557 |
|
| 2012 |
Li J, Lou Y, Shi Y. An Optimization Algorithm Based on Binary Difference and Gravitational Evolution International Journal of Computational Intelligence Systems. 5: 483-493. DOI: 10.1080/18756891.2012.696912 |
0.556 |
|
| 2012 |
Zhang X, Zhang Y, Shi Y, Zhao L, Zou C. Power control algorithm in cognitive radio system based on modified Shuffled Frog Leaping Algorithm Aeu-International Journal of Electronics and Communications. 66: 448-454. DOI: 10.1016/J.Aeue.2011.10.004 |
0.447 |
|
| 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 |
0.703 |
|
| 2011 |
Shi Y. An Optimization Algorithm Based on Brainstorming Process International Journal of Swarm Intelligence Research. 2: 35-62. DOI: 10.4018/Ijsir.2011100103 |
0.494 |
|
| 2011 |
Zhu Z, Zhou J, Ji Z, Shi Y. DNA Sequence Compression Using Adaptive Particle Swarm Optimization-Based Memetic Algorithm Ieee Transactions On Evolutionary Computation. 15: 643-658. DOI: 10.1109/Tevc.2011.2160399 |
0.481 |
|
| 2011 |
Zhan Z, Zhang J, Li Y, Shi Y. Orthogonal Learning Particle Swarm Optimization Ieee Transactions On Evolutionary Computation. 15: 832-847. DOI: 10.1109/Tevc.2010.2052054 |
0.523 |
|
| 2011 |
Zhang J, Zhan Z, Lin Y, Chen N, Gong Y, Zhong J, Chung HSH, Li Y, Shi Y. Evolutionary Computation Meets Machine Learning: A Survey Ieee Computational Intelligence Magazine. 6: 68-75. DOI: 10.1109/Mci.2011.942584 |
0.502 |
|
| 2010 |
Hu X, Zhang J, Yu Y, Chung HS, Li Y, Shi Y, Luo X. Hybrid Genetic Algorithm Using a Forward Encoding Scheme for Lifetime Maximization of Wireless Sensor Networks Ieee Transactions On Evolutionary Computation. 14: 766-781. DOI: 10.1109/Tevc.2010.2040182 |
0.309 |
|
| 2010 |
Chen W, Zhang J, Chung HSH, Zhong W, Wu W, Shi Y. A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems Ieee Transactions On Evolutionary Computation. 14: 278-300. DOI: 10.1109/Tevc.2009.2030331 |
0.501 |
|
| 2010 |
Tan Y, Shi Y, Tan KC. Advances in Swarm Intelligence Lecture Notes in Computer Science. 6146. DOI: 10.1007/978-3-642-13498-2 |
0.301 |
|
| 2009 |
Shi Y, Eberhart RC. Monitoring of particle swarm optimization Frontiers of Computer Science in China. 3: 31-37. DOI: 10.1007/S11704-009-0008-4 |
0.627 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. chapter eleven – And in Conclusion... Swarm Intelligence. 421-428. DOI: 10.1016/B978-155860595-4/50011-5 |
0.569 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. Implications and Speculations Swarm Intelligence. 393-419. DOI: 10.1016/B978-155860595-4/50010-3 |
0.619 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. chapter nine – Applications Swarm Intelligence. 369-392. DOI: 10.1016/B978-155860595-4/50009-7 |
0.604 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. Variations and Comparisons Swarm Intelligence. 327-368. DOI: 10.1016/B978-155860595-4/50008-5 |
0.638 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. chapter seven – The Particle Swarm Swarm Intelligence. 287-325. DOI: 10.1016/B978-155860595-4/50007-3 |
0.656 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. Humans—Actual, Imagined, and Implied Swarm Intelligence. 187-259. DOI: 10.1016/B978-155860595-4/50005-X |
0.531 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. Evolutionary Computation Theory and Paradigms Swarm Intelligence. 133-185. DOI: 10.1016/B978-155860595-4/50004-8 |
0.621 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. Symbols, Connections, and Optimization by Trial and Error Swarm Intelligence. 35-79. DOI: 10.1016/B978-155860595-4/50002-4 |
0.604 |
|
| 2001 |
Kennedy J, Eberhart RC, Shi Y. Models and Concepts of Life and Intelligence Swarm Intelligence. 3-34. DOI: 10.1016/B978-155860595-4/50001-2 |
0.547 |
|
| 2000 |
He Z, Yang L, Liu J, Lu Z, He C, Shi Y. Blind source separation using clustering-based multivariate density estimation algorithm Ieee Transactions On Signal Processing. 48: 575-579. DOI: 10.1109/78.823988 |
0.421 |
|
| 1999 |
He Z, Yang L, Liu J, Lu Z, He C, Shi Y. Approaches For Blind Separation Of Sources Based On Multivariate Density Estimation Journal of Circuits, Systems, and Computers. 9: 243-253. DOI: 10.1142/S0218126699000207 |
0.364 |
|
| 1999 |
Shi Y, Eberhart R, Chen Y. Implementation of evolutionary fuzzy systems Ieee Transactions On Fuzzy Systems. 7: 109-119. DOI: 10.1109/91.755393 |
0.591 |
|
| 1998 |
Eberhart RC, Shi Y. Comparison between genetic algorithms and particle swarm optimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1447: 611-616. DOI: 10.1007/Bfb0040812 |
0.701 |
|
| 1998 |
Shi Y, Eberhart RC. Parameter selection in particle swarm optimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1447: 591-600. DOI: 10.1007/Bfb0040810 |
0.612 |
|
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