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ORCIDXiaodong Li 0001
Person information
- affiliation: RMIT University, Evolutionary Computation and Machine Learning Research Group, Melbourne, VIC, Australia
- affiliation (PhD): University of Otago, Dunedin, New Zealand
Other persons with the same name
- Xiaodong Li (aka: Xiao-Dong Li) — disambiguation page
- Xiaodong Li 0002
![[0000-0002-4170-0076]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4170-0076")
— Chinese Academy of Science, Institute of Acoustics, Beijing, China - Xiaodong Li 0003 — Linyi University, School of Logistics, China
- Xiaodong Li 0004 — Dalian University of Technology, MOE, Key Laboratory for Precision and Non-Traditional Machining Technology, China
- Xiaodong Li 0005 — University of Pennsylvania, Department of Wharton Statistics, Philadelphia, PA, USA (and 1 more)
- Xiaodong Li 0006 — University of Nottingham, School of Geography, UK (and 1 more)
- Xiaodong Li 0007 — Hohai University, School of Computer and Information, Nanjing, China (and 1 more)
- Xiaodong Li 0008 — Macau University of Science and Technology, Faculty of Information Technology, Macau (and 1 more)
- Xiaodong Li 0009 — University of Hong Kong, Department of Computer Science, Hong Kong
- Xiaodong Li 0010 — University of Hong Kong, Department of Orthopaedics and Traumatology, Hong Kong (and 1 more)
- Xiaodong Li 0011 (aka: Xiao-Dong Li 0011) — Sun Yat-sen University, School of Intelligent Systems Engineering, Guangzhou, China (and 1 more)
- Xiaodong Li 0012 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
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2020 – today
- 2024
[j81]Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li:
Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty. Int. J. Prod. Res. 62(17): 6227-6250 (2024)- [j80]Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin:
Enhancing constraint programming via supervised learning for job shop scheduling. Knowl. Based Syst. 293: 111698 (2024) - [c150]Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis:
New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. GECCO 2024 - [c149]Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis:
Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. GECCO Companion 2024: 5-6 - [c148]Behrooz Ghasemishabankareh, Xiaodong Li, Melih Ozlen:
User-Preference Based Evolutionary Algorithms for Solving Multi-Objective Nonlinear Minimum Cost Flow Problems. GECCO 2024 - [c147]Marcin Michal Komarnicki, Michal Witold Przewozniczek, Renato Tinós, Xiaodong Li:
Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems. GECCO 2024 - [c146]Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan:
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. GECCO Companion 2024: 371-374 - [c145]Aidan Blair, Amirali Khodadadian Gostar, Xiaodong Li, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
Evaluation of Genetic Algorithms in Multi-Vehicle Control for Multi-Target Tracking Applications. GECCO Companion 2024: 631-634 - [c144]Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li:
Machine Learning-Enhanced Ant Colony Optimization for Column Generation. GECCO 2024 - [c143]Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao:
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. GECCO 2024 - [c142]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. ICML 2024 - [e11]Xiaodong Li, Julia Handl:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM 2024, ISBN 979-8-4007-0494-9 [contents] - [e10]Xiaodong Li, Julia Handl:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM 2024, ISBN 979-8-4007-0495-6 [contents] - [i16]Aidan Blair, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Xiaodong Li, Reza Hoseinnezhad:
Enhanced Multi-Target Tracking in Dynamic Environments: Distributed Control Methods Within the Random Finite Set Framework. CoRR abs/2401.14085 (2024) - [i15]Danial Yazdani, Jürgen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao:
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. CoRR abs/2402.15731 (2024) - [i14]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR abs/2405.11198 (2024) - [i13]Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Xiaodong Li, Zhiyong Peng:
Efficient k-means with Individual Fairness via Exponential Tilting. CoRR abs/2406.16557 (2024) - [i12]Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li:
Machine Learning-Enhanced Ant Colony Optimization for Column Generation. CoRR abs/2407.01546 (2024) - [i11]Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Xiaodong Li, Yuan Yao, Zhiyong Peng:
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness. CoRR abs/2407.16397 (2024) - 2023
- [j79]Ruimin Chu, Li Chik, Jeffrey Chan, Kurt Gutzmann, Xiaodong Li:
Automatic meter error detection with a data-driven approach. Eng. Appl. Artif. Intell. 123(Part C): 106466 (2023) - [j78]Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun:
Ranking constraint relaxations for mixed integer programs using a machine learning approach. EURO J. Comput. Optim. 11: 100061 (2023) - [j77]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Adaptive solution prediction for combinatorial optimization. Eur. J. Oper. Res. 309(3): 1392-1408 (2023) - [j76]Xiaodong Li, Yuezu Lv, Guanghui Wen, Xinghuo Yu:
Tracking Consensus of Multi-Agent Systems With Varying Number of Agents Under Actuator Attacks. IEEE Trans. Circuits Syst. II Express Briefs 70(12): 4514-4518 (2023) - [j75]Xiaoliang Ma, Zhitao Huang, Xiaodong Li, Yutao Qi, Lei Wang, Zexuan Zhu:
Multiobjectivization of Single-Objective Optimization in Evolutionary Computation: A Survey. IEEE Trans. Cybern. 53(6): 3702-3715 (2023) - [c141]Minh Hoang Nguyen, Phuong Duy Huynh, Son Hoang Dau, Xiaodong Li:
Rug-pull malicious token detection on blockchain using supervised learning with feature engineering. ACSW 2023: 72-81 - [c140]Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li:
A Test Suite for Multi-objective Multi-fidelity Optimization. EMO 2023: 361-373 - [c139]Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li:
Large-Scale Optimization and Learning. GECCO Companion 2023: 1477-1502 - [c138]Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner:
Learning to Generate Columns with Application to Vertex Coloring. ICLR 2023 - [i10]Phuong Duy Huynh, Son Hoang Dau, Xiaodong Li, Phuc Luong, Emanuele Viterbo:
Improving Robustness and Accuracy of Ponzi Scheme Detection on Ethereum Using Time-Dependent Features. CoRR abs/2308.16391 (2023) - [i9]Phuong Duy Huynh, Thisal De Silva, Son Hoang Dau, Xiaodong Li, Iqbal Gondal, Emanuele Viterbo:
From Programming Bugs to Multimillion-Dollar Scams: An Analysis of Trapdoor Tokens on Decentralized Exchanges. CoRR abs/2309.04700 (2023) - 2022
- [j74]Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley:
Boosting ant colony optimization via solution prediction and machine learning. Comput. Oper. Res. 143: 105769 (2022) - [j73]Xing Wan, Xingquan Zuo, Xiaodong Li, Xinchao Zhao:
A hybrid multiobjective GRASP for a multi-row facility layout problem with extra clearances. Int. J. Prod. Res. 60(3): 957-976 (2022) - [j72]Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb:
A speciation-based bilevel niching method for multimodal truss design problems. J. Comb. Optim. 44(1): 172-206 (2022) - [j71]Dhananjay R. Thiruvady, Su Nguyen, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li:
Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty. Swarm Evol. Comput. 69: 101029 (2022) - [j70]Xiaoliang Ma, Jian Yin, Anmin Zhu, Xiaodong Li, Yanan Yu, Lei Wang, Yutao Qi, Zexuan Zhu:
Enhanced Multifactorial Evolutionary Algorithm With Meme Helper-Tasks. IEEE Trans. Cybern. 52(8): 7837-7851 (2022) - [j69]Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part I. IEEE Trans. Evol. Comput. 26(5): 802-822 (2022) - [j68]Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part II. IEEE Trans. Evol. Comput. 26(5): 823-843 (2022) - [j67]Xiaoliang Ma, Zhitao Huang, Xiaodong Li, Lei Wang, Yutao Qi, Zexuan Zhu:
Merged Differential Grouping for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 26(6): 1439-1451 (2022) - [c137]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. AAAI 2022: 9926-9934 - [c136]Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. EvoCOP 2022: 111-126 - [c135]Aidan Blair, Amirali Khodadadian Gostar, Ruwan B. Tennakoon, Alireza Bab-Hadiashar, Xiaodong Li, Jennifer Palmer, Reza Hoseinnezhad:
Distributed Multi-Sensor Control for Multi-Target Tracking. ICCAIS 2022: 231-239 - [i8]Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li:
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling. CoRR abs/2210.17036 (2022) - [i7]Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin:
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling. CoRR abs/2211.14492 (2022) - 2021
- [j66]Xiaoliang Ma, Yongjin Zheng, Zexuan Zhu, Xiaodong Li, Lei Wang, Yutao Qi, Junshan Yang:
Improving Evolutionary Multitasking Optimization by Leveraging Inter-Task Gene Similarity and Mirror Transformation. IEEE Comput. Intell. Mag. 16(4): 38-53 (2021) - [j65]Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun, Kalyanmoy Deb:
Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid. Eur. J. Oper. Res. 293(3): 847-862 (2021) - [j64]Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner:
Generalization of machine learning for problem reduction: a case study on travelling salesman problems. OR Spectr. 43(3): 607-633 (2021) - [j63]Yuan Sun, Xiaodong Li, Andreas T. Ernst:
Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1746-1760 (2021) - [j62]Dazhuang Liu, Yutao Qi, Rui Yang, Yi-Ning Quan, Xiaodong Li, Qiguang Miao:
A tri-objective preference-based uniform weight design method using Delaunay triangulation. Soft Comput. 25(15): 9703-9729 (2021) - [c134]Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty particle swarm optimisation for truss optimisation problems. GECCO Companion 2021: 67-68 - [c133]Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li:
Bayesian preference learning for interactive multi-objective optimisation. GECCO 2021: 466-475 - [c132]Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. IJCNN 2021: 1-8 - [p5]Mike Preuss, Michael Epitropakis, Xiaodong Li, Jonathan E. Fieldsend:
Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances. Metaheuristics for Finding Multiple Solutions 2021: 1-26 - [p4]Andreas Miessen, Jaromil Najman, Xiaodong Li:
Finding Representative Solutions in Multimodal Optimization for Enhanced Decision-Making. Metaheuristics for Finding Multiple Solutions 2021: 57-88 - [e9]Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend:
Metaheuristics for Finding Multiple Solutions. Natural Computing Series, Springer 2021, ISBN 978-3-030-79552-8 [contents] - [i6]Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. CoRR abs/2107.00866 (2021) - [i5]Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao:
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. CoRR abs/2107.11019 (2021) - [i4]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. CoRR abs/2112.04906 (2021) - [i3]Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. CoRR abs/2112.07875 (2021) - 2020
- [j61]Behrooz Ghasemishabankareh, Xiaodong Li, Melih Ozlen, Frank Neumann:
Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functions. Appl. Soft Comput. 86 (2020) - [j60]Yutao Qi, Dazhuang Liu, Xiaodong Li, Jiaojiao Lei, Xiaoying Xu, Qiguang Miao:
An adaptive penalty-based boundary intersection method for many-objective optimization problem. Inf. Sci. 509: 356-375 (2020) - [j59]Behrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li, Kalyanmoy Deb:
A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems. Soft Comput. 24(2): 1153-1169 (2020) - [j58]Xiaoliang Ma, Yanan Yu, Xiaodong Li, Yutao Qi, Zexuan Zhu:
A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 24(4): 634-649 (2020) - [j57]Fabio Zambetta, William L. Raffe, Marco Tamassia, Florian 'Floyd' Mueller, Xiaodong Li, Niels Quinten, Rakesh Patibanda, Daniel Dang, Jon Satterley:
Reducing Perceived Waiting Time in Theme Park Queues via an Augmented Reality Game. ACM Trans. Comput. Hum. Interact. 27(1): 3:1-3:30 (2020) - [c131]Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan:
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI 2020: 5908-5915 - [c130]Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun:
Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach. GECCO 2020: 263-270 - [c129]Mohammad Haqqani, Xiaodong Li, Xinghuo Yu:
Non-deterministic journey planning in multi-modal transportation networks: a meta-heuristic approach. GECCO 2020: 1098-1106 - [i2]Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley:
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. CoRR abs/2008.04213 (2020) - [i1]Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan:
Instance Space Analysis for the Car Sequencing Problem. CoRR abs/2012.10053 (2020)
2010 – 2019
- 2019
- [j56]Borhan Kazimipour, Mohammad Nabi Omidvar, A. Kai Qin, Xiaodong Li, Xin Yao:
Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. Appl. Soft Comput. 76: 265-281 (2019) - [j55]Hamza Turabieh, Majdi M. Mafarja, Xiaodong Li:
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction. Expert Syst. Appl. 122: 27-42 (2019) - [j54]Yutao Qi, Xiaodong Li, Jusheng Yu, Qiguang Miao:
User-preference based decomposition in MOEA/D without using an ideal point. Swarm Evol. Comput. 44: 597-611 (2019) - [j53]Caitong Yue, Boyang Qu, Kunjie Yu, Jing J. Liang, Xiaodong Li:
A novel scalable test problem suite for multimodal multiobjective optimization. Swarm Evol. Comput. 48: 62-71 (2019) - [j52]Xiaoliang Ma, Xiaodong Li, Qingfu Zhang, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu:
A Survey on Cooperative Co-Evolutionary Algorithms. IEEE Trans. Evol. Comput. 23(3): 421-441 (2019) - [c128]Simon Demediuk, Marco Tamassia, Xiaodong Li, William L. Raffe:
Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment. ACSW 2019: 43:1-43:7 - [c127]Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar:
Decomposition for Large-scale Optimization Problems with Overlapping Components. CEC 2019: 326-333 - [c126]Kendall Taylor, Xiaodong Li, Jeffrey Chan:
Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. CEC 2019: 2442-2449 - [c125]Behrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li:
NSGA-II for Solving Multiobjective Integer Minimum Cost Flow Problem with Probabilistic Tree-Based Representation. EMO 2019: 541-552 - [c124]Angus Kenny, Xiaodong Li, Andreas T. Ernst, Yuan Sun:
An improved merge search algorithm for the constrained pit problem in open-pit mining. GECCO 2019: 294-302 - 2018
- [j51]Yutao Qi, Jusheng Yu, Xiaodong Li, Yi-Ning Quan, Qiguang Miao:
Enhancing robustness of the inverted PBI scalarizing method in MOEA/D. Appl. Soft Comput. 71: 1117-1132 (2018) - [j50]Yuping Wang, Haiyan Liu, Fei Wei, Tingting Zong, Xiaodong Li:
Cooperative Coevolution with Formula-Based Variable Grouping for Large-Scale Global Optimization. Evol. Comput. 26(4) (2018) - [j49]Haiyan Liu, Yuping Wang, Liwen Liu, Xiaodong Li:
A two phase hybrid algorithm with a new decomposition method for large scale optimization. Integr. Comput. Aided Eng. 25(4): 349-367 (2018) - [j48]Majdi M. Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, Hossam Faris, Philippe Fournier-Viger, Xiaodong Li, Seyedali Mirjalili:
Binary dragonfly optimization for feature selection using time-varying transfer functions. Knowl. Based Syst. 161: 185-204 (2018) - [j47]Marco Tamassia, Fabio Zambetta, William L. Raffe, Florian 'Floyd' Mueller, Xiaodong Li:
Learning Options From Demonstrations: APac-ManCase Study. IEEE Trans. Games 10(1): 91-96 (2018) - [j46]Jing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song:
A Bi-Level Optimization Model for Grouping Constrained Storage Location Assignment Problems. IEEE Trans. Cybern. 48(1): 385-398 (2018) - [j45]Aizhu Zhang, Genyun Sun, Jinchang Ren, Xiaodong Li, Zhenjie Wang, Xiuping Jia:
A Dynamic Neighborhood Learning-Based Gravitational Search Algorithm. IEEE Trans. Cybern. 48(1): 436-447 (2018) - [c123]Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Florian 'Floyd' Mueller, Xiaodong Li:
Measuring player skill using dynamic difficulty adjustment. ACSW 2018: 41:1-41:7 - [c122]Angus Kenny, Xiaodong Li, Andreas T. Ernst:
A merge search algorithm and its application to the constrained pit problem in mining. GECCO 2018: 316-323 - [c121]Kendall Taylor, Xiaodong Li:
Interactive multiobjective optimisation: preference changes and algorithm responsiveness. GECCO 2018: 761-768 - [c120]Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li:
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO 2018: 889-896 - [c119]Yuan Sun, Michael Kirley, Xiaodong Li:
Cooperative co-evolution with online optimizer selection for large-scale optimization. GECCO 2018: 1079-1086 - [c118]Mohammad Haqqani, Xiaodong Li, Xinghuo Yu:
Multi-objective journey planning under uncertainty: a genetic approach. GECCO 2018: 1262-1269 - [c117]Behrooz Ghasemishabankareh, Melih Ozlen, Frank Neumann, Xiaodong Li:
A Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow Problems. PPSN (1) 2018: 69-81 - [c116]Mohammad Haqqani, Homayoon Ashrafzadeh, Xiaodong Li, Xinghuo Yu:
Conditional Preference Learning for Personalized and Context-Aware Journey Planning. PPSN (1) 2018: 451-463 - [c115]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [c114]Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda:
Workshops at PPSN 2018. PPSN (2) 2018: 490-497 - [e8]Tanja Mitrovic, Bing Xue, Xiaodong Li:
AI 2018: Advances in Artificial Intelligence - 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings. Lecture Notes in Computer Science 11320, Springer 2018, ISBN 978-3-030-03990-5 [contents] - 2017
- [j44]Yutao Qi, Jusheng Yu, Xiaodong Li, Yanxi Wei, Qiguang Miao:
Reservoir flood control operation using multi-objective evolutionary algorithm with decomposition and preferences. Appl. Soft Comput. 50: 21-33 (2017) - [j43]Jinhua Zheng, Guo Yu, Qiaofeng Zhu, Xiaodong Li, Juan Zou:
On decomposition methods in interactive user-preference based optimization. Appl. Soft Comput. 52: 952-973 (2017) - [j42]Md. Jakirul Islam, Xiaodong Li, Yi Mei:
A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO. Appl. Soft Comput. 59: 182-196 (2017) - [j41]Marco Dorigo, Mauro Birattari, Xiaodong Li, Manuel López-Ibáñez, Kazuhiro Ohkura, Carlo Pinciroli, Thomas Stützle:
ANTS 2016 special issue: Editorial. Swarm Intell. 11(3-4): 181-183 (2017) - [j40]Jian Lin, Zhou-Jing Wang, Xiaodong Li:
A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem. Swarm Evol. Comput. 36: 124-135 (2017) - [j39]Ke Tang, Juan Wang, Xiaodong Li, Xin Yao:
A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition. IEEE Trans. Cybern. 47(11): 3928-3940 (2017) - [j38]Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao:
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 21(4): 493-505 (2017) - [j37]Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries P. Engelbrecht:
Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications. IEEE Trans. Evol. Comput. 21(4): 518-538 (2017) - [j36]Mohammad Nabi Omidvar, Ming Yang, Yi Mei, Xiaodong Li, Xin Yao:
DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 21(6): 929-942 (2017) - [c113]Yutao Qi, Haodong Guo, Xiaodong Li:
Extending the Delaunay Triangulation Based Density Measurement to Many-Objective Optimization. ACALCI 2017: 3-11 - [c112]