Publications

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Refereed Journal Papers

( indicates the corresponding author)

[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]
2019 Imapct Factor: 11.169
[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]
2019 Imapct Factor: 11.169
[J3] A meta-objective approach for many-objective evolutionary optimization
Dunwei Gong, Yiping Liu , Gary G. Yen
Evolutionary Computation, vol.Spring, no. , pp.1-25, 2020.
[DOI: 10.1162/evco_a_00243] [PDF] [Code] [Supplement]
2019 Imapct Factor: 3.933
[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]
2019 Imapct Factor: 5.472
[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]
2019 Imapct Factor: 7.246
[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]
2019 Imapct Factor: 11.169
[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]
2019 Imapct Factor: 3.745
[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]
2019 Imapct Factor: 11.079
[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]
2019 Imapct Factor: 5.472
[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]
2019 Imapct Factor: 3.050
[J11] Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems
Dunwei Gong, Yiping Liu , Xinfang Ji, Jing Sun
Applied Intelligence, vol.43, no. 3, pp.676-694, 2015.
[DOI: 10.1007/s10489-015-0658-x]
2019 Imapct Factor: 3.325
[J12] Parallel many-objective evolutionary optimization using objectives decomposition
Dunwei Gong, Yiping Liu , Xiaoyan Sun, Yuyan Han
Acta Automatica Sinica, vol.41, no. 8, pp.1438-1451, 2015.
[DOI: 10.16383/j.aas.2015.c140832]

Refereed Conference Papers

[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]
Acceptance Rate: 39% for oral presentations
[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]
Acceptance Rate: 39% for oral presentations
[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]
Acceptance Rate: 35%
[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]
Acceptance Rate: 38.6%
[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]
Acceptance Rate: 38.6%
[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]
Acceptance Rate: 38%
[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]