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期刊论文
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表示通信作者)
| [J1] |
Handling imbalance between convergence and diversity in the decision space in evolutionary multi-modal multi-objective optimization Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama IEEE Transactions on Evolutionary Computation, vol.24, no. 3, pp.551-565, 2020. [DOI: 10.1109/TEVC.2019.2938557] [PDF] [Code] [Supplement] 影响因子: 11.169, 中科院SCI一区, 顶刊 |
| [J2] |
Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts Yiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima IEEE Transactions on Evolutionary Computation, vol.24, no. 3, pp.439-453, 2020. [DOI: 10.1109/TEVC.2019.2926151] [PDF] [Code] [Supplement] 影响因子: 11.169, 中科院SCI一区, 顶刊 |
| [J3] |
A meta-objective approach for many-objective evolutionary optimization Dunwei Gong, Yiping Liu ,
Gary G. YenEvolutionary Computation, vol.Spring, no. , pp.1-25, 2020. [DOI: 10.1162/evco_a_00243] [PDF] [Code] [Supplement] 影响因子: 3.933, 中科院SCI二区, 进化计算领域著名期刊, 该期首篇文章 |
| [J4] |
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time Yuyan Han, Junqing Li, Hongyan Sang, Yiping Liu, Kaizhou Gao, Quanke Pan Applied Soft Computing, vol.93, no. , pp.106343, 2020. [DOI: 10.1016/j.asoc.2020.106343] 影响因子: 5.472, 中科院SCI二区 |
| [J5] |
Meta-heuristic algorithm for solving vehicle routing problems with time windows and synchronized visit constraints in prefabricated systems Junqing Li, Yunqi Han, Peiyong Duan, Yuyan Han, Ben Niu, Chengdong Li, Zhixin Zheng, Yiping Liu Journal of Cleaner Production, vol.250, no. , pp.119464, 2020. [DOI: 10.1016/j.jclepro.2019.119464] 影响因子: 7.246, 中科院SCI一区 |
| [J6] |
A multi-modal multi-objective evolutionary algorithm using two-archive and recombination strategies Yiping Liu, Gary G. Yen, Dunwei Gong IEEE Transactions on Evolutionary Computation, vol.23, no. 4, pp.660-674, 2019. [DOI: 10.1109/TEVC.2018.2879406] [PDF] [Code] [Supplement] 影响因子: 11.169, 中科院SCI一区, 顶刊 |
| [J7] |
Topological clustering via adaptive resonance theory with information theoretic learning Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu IEEE Access, vol.7, no. 1, pp.76920-76936, 2019. [DOI: 10.1109/ACCESS.2019.2921832] 影响因子: 3.745, 中科院SCI二区 |
| [J8] |
A many-objective evolutionary algorithm using a one-by-one selection strategy Yiping Liu, Dunwei Gong, Jing Sun, Yaochu Jin IEEE Transactions on Cybernetics, vol.47, no. 9, pp.2689-2702, 2017. [DOI: 10.1109/TCYB.2016.2638902] [PDF] [Code] [Supplement] 影响因子: 11.079, 中科院SCI一区, 顶刊 |
| [J9] |
Many-objective evolutionary optimization based on reference points Yiping Liu, Dunwei Gong, Xiaoyan Sun, Yong Zhang Applied Soft Computing, vol.50, no. 1, pp.344-355, 2017. [DOI: 10.1016/j.asoc.2016.11.009] [PDF] [Code] 影响因子: 5.472, 中科院SCI二区 |
| [J10] |
Indicator-based set evolution particle swarm optimization for many-objective problems Xiaoyan Sun, Yang Chen, Yiping Liu, Dunwei Gong Soft Computing, vol.20, no. 6, pp.2219-2232, 2016. [DOI: 10.1007/s00500-015-1637-1] 影响因子: 3.050, 中科院SCI三区 |
| [J11] |
Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems Dunwei Gong, Yiping Liu ,
Xinfang Ji,
Jing SunApplied Intelligence, vol.43, no. 3, pp.676-694, 2015. [DOI: 10.1007/s10489-015-0658-x] 影响因子: 3.325, 中科院SCI三区 |
| [J12] |
基于目标分解的高维多目标并行进化优化方法 巩敦卫, 刘益萍 ,
孙晓燕,
韩玉艳自动化学报, vol.41, no. 8, pp.1438-1451, 2015. [DOI: 10.16383/j.aas.2015.c140832] EI, 中文权威期刊 |
会议论文
| [C1] |
On the normalization in evolutionary multi-modal multi-objective optimization Yiping Liu, Hisao Ishibuchi, Gary Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han in IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020 [in press]. |
| [C2] |
Multilayer clustering based on adaptive resonance theory for noisy environments Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi in The International Joint Conference on Neural Networks (IJCNN). IEEE, 2020 [in press]. |
| [C3] |
Searching for local pareto optimal solutions: A case study on polygon-based problems Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han in IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019 , pp. 873-880. [DOI: 10.1109/CEC.2019.8790066] [PDF] [Code] 录用率: 39% (口头报告) |
| [C4] |
Migrating birds optimization for lot-streaming flow shop scheduling problem Yuyan Han, Junqing Li, Yiping Liu, Zhixin Zheng, Yuxia Pan, Hongyan Sang, Lili Liu in IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019 , pp. 652-657. [DOI: 10.1109/CEC.2019.8790017] 录用率: 39% (口头报告) |
| [C5] |
Constrained multiobjective distance minimization problems Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi in The Genetic and Evolutionary Computation Conference (GECCO). ACM, 2019 , pp. 586-594. [DOI: 10.1145/3321707.3321878] CCF C类, 录用率: 35%, 进化计算领域顶会 |
| [C6] |
Fast topological adaptive resonance theory based on correntropy induced metric Naoki Masuyama, Narito Amako, Yusuke Nojima, Yiping Liu, Chu Kiong Loo, Hisao Ishibuchi in The IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019 , pp. 2215-2221. [DOI: 10.1109/SSCI44817.2019.9003098] |
| [C7] |
Dots-type constrained multiobjective distance minimization problems Takafumi Fukase, Naoki Masuyama, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi in The International Symposium on Advanced Intelligent Systems and the International Conference on Biometrics and Kansei Engineering (ISIS & ICBAKE). , 2019 , pp. 51-56. |
| [C8] |
A double-niched evolutionary algorithm and its behavior on polygon-based problems Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang in International Conference on Parallel Problem Solving from Nature (PPSN). Springer, 2018 , pp. 262-273. [DOI: 10.1007/978-3-319-99253-2_21] [PDF] [Code] CCF B类, 录用率: 38.6%, 进化计算领域顶会 |
| [C9] |
Improving 1by1EA to handle various shapes of Pareto fronts Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang in International Conference on Parallel Problem Solving from Nature (PPSN). Springer, 2018 , pp. 311-322. [DOI: 10.1007/978-3-319-99253-2_25] [PDF] [Code] CCF B类, 录用率: 38.6%, 进化计算领域顶会 |
| [C10] |
A new R2 indicator for better hypervolume approximation Ke Shang, Hisao Ishibuchi, Minling Zhang, Yiping Liu in The Genetic and Evolutionary Computation Conference (GECCO). ACM, 2018 , pp. 745-752. [DOI: 10.1145/3205455.3205543] CCF C类, 录用率: 38%, 进化计算领域顶会 |
| [C11] |
Topological Kernel Bayesian ARTMAP Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Liu in World Automation Congress (WAC). IEEE, 2018 , pp. 316-321. [DOI: 10.23919/WAC.2018.8430302] |
| [C12] |
A reference points-based evolutionary algorithm for many-objective optimization Yiping Liu, Dunwei Gong, Xiaoyan Sun, Yong Zhang in The Genetic and Evolutionary Computation Conference (GECCO Student Workshop). ACM, 2014 , pp. 1053-1056. [DOI: 10.1145/2598394.2605674] |