| List-based simulated annealing algorithm for traveling salesman problem S Zhan, J Lin, Z Zhang, Y Zhong Computational intelligence and neuroscience 2016, 8, 2016 | 174 | 2016 |
| Discrete comprehensive learning particle swarm optimization algorithm with Metropolis acceptance criterion for traveling salesman problem Y Zhong, J Lin, L Wang, H Zhang Swarm and Evolutionary Computation, 2018 | 103 | 2018 |
| Hybrid discrete artificial bee colony algorithm with threshold acceptance criterion for traveling salesman problem Y Zhong, J Lin, L Wang, H Zhang Information Sciences 421, 70-84, 2017 | 84 | 2017 |
| Hybrid artificial bee colony algorithm with chemotaxis behavior of bacterial foraging optimization algorithm Y Zhong, J Lin, J Ning, X Lin Natural Computation (ICNC), 2011 Seventh International Conference on 2, 1171 …, 2011 | 27 | 2011 |
| Multi-Agent Simulated Annealing Algorithm with Parallel Adaptive Multiple Sampling for Protein Structure Prediction in AB off-lattice model J Lin, Y Zhong, E Li, X Lin, H Zhang Applied Soft Computing, 2017 | 16 | 2017 |
| Multi-agent simulated annealing algorithm based on particle swarm optimization algorithm for protein structure prediction J Lin, J Ning, QL Du, YW Zhong Journal of Bionanoscience 7 (1), 84-91, 2013 | 13 | 2013 |
| Analysis of learning-based multi-agent simulated annealing algorithm for function optimisation problems Y Zhong, J Lin, H Yang, H Zhang International Journal of Computing Science and Mathematics 4 (4), 382-391, 2013 | 12 | 2013 |
| Evolutionary harmony search algorithm with Metropolis acceptance criterion for travelling salesman problem C Wang, J Lin, M Lin, Y Zhong International Journal of Wireless and Mobile Computing 10 (2), 166-173, 2016 | 10 | 2016 |
| Accelerated shuffled frog-leaping algorithm with Gaussian mutation J Lin, Y Zhong Information Technology Journal 12 (23), 7391, 2013 | 10 | 2013 |
| Multi-agent simulated annealing algorithm based on differential perturbation for protein structure prediction problems Y Zhong, J Lin, Q Du, L Wang International Journal of Computer Applications in Technology 51 (3), 164-172, 2015 | 6 | 2015 |
| A modified discrete shuffled flog leaping algorithm for RNA secondary structure prediction J Lin, Y Zhong, J Zhang Advances in Control and Communication 137, 591-599, 2012 | 5 | 2012 |
| Discrete shuffled flog leaping algorithm for RNA secondary structure prediction J Lin, Y Zhong, J Zhang Natural Computation (ICNC), 2011 Seventh International Conference on 3, 1489 …, 2011 | 5 | 2011 |
| Divide-and-conquer strategies for large-scale simulations in R H Zhang, Y Zhong, J Lin Big Data (Big Data), 2017 IEEE International Conference on, 3517-3523, 2017 | 4 | 2017 |
| Parallel Simulated Annealing Algorithm Based on Particle Swarm Optimization Algorithm J LIN, Q DU, H YANG, Y ZHONG Journal of Frontiers of Computer Science & Technology 7, 013, 2014 | 4 | 2014 |
| Improved opposition-based shuffled frog leaping algorithm for function optimization problems J Lin, YW Zhong, SL Ma Jisuanji Yingyong Yanjiu 30 (3), 760-763, 2013 | 4 | 2013 |
| Visualizing mathematical knot equivalence J Lin, H Zhang | 2 | 2019 |
| Multi-agent list-based threshold-accepting algorithm for numerical optimisation J Lin, Y Zhong International Journal of Computing Science and Mathematics 6 (5), 501-509, 2015 | 2 | 2015 |
| Modified shuffled frog-leaping algorithm with dimension by dimension improvement J Lin, Y Zhong Journal of Computers 9 (10), 2014 | 2 | 2014 |
| AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR PROTEIN STRUCTURE PREDICTION BASED ON AB MODEL Y ZHONG, J LIN, X LIN, HUI YANG Journal of Theoretical and Applied Information Technology 51 (1), 2013 | 2 | 2013 |
| Accelerating mathematical knot simulations with R on the web J Lin, D Zhong, Y Zhong, H Zhang Big Data (Big Data), 2016 IEEE International Conference on, 2315-2321, 2016 | | 2016 |
