Xiaodong Li

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 120

Top Venues

GECCO

CoRR

IEEE Trans. Evol. Comput.

CEC

Publications

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 (2024)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR (2024)
Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li
Machine Learning-Enhanced Ant Colony Optimization for Column Generation. CoRR (2024)
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 (2024)
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)
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) (2024)
Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li
Machine Learning-Enhanced Ant Colony Optimization for Column Generation. GECCO (2024)
Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. GECCO Companion (2024)
Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis
New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. GECCO (2024)
Behrooz Ghasemishabankareh, Xiaodong Li, Melih Ozlen
User-Preference Based Evolutionary Algorithms for Solving Multi-Objective Nonlinear Minimum Cost Flow Problems. GECCO (2024)
Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Xiaodong Li, Zhiyong Peng
Efficient k-means with Individual Fairness via Exponential Tilting. CoRR (2024)
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)
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 (2024)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
Adaptive solution prediction for combinatorial optimization. Eur. J. Oper. Res. 309 (3) (2023)
Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner
Learning to Generate Columns with Application to Vertex Coloring. ICLR (2023)
Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li
Large-Scale Optimization and Learning. GECCO Companion (2023)
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) (2023)
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 (2022)
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 (2022)
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) (2022)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew S. Eberhard, Andreas T. Ernst
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. AAAI (2022)
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) (2022)
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 (2022)
Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. EvoCOP (2022)
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) (2022)
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 (2022)
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) (2022)
Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb
A speciation-based bilevel niching method for multimodal truss design problems. J. Comb. Optim. 44 (1) (2022)
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) (2022)
Yunzhuang Shen, Yuan Sun, Andrew S. Eberhard, Xiaodong Li
Learning Primal Heuristics for Mixed Integer Programs. IJCNN (2021)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
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 (2021)
Yunzhuang Shen, Yuan Sun, Andrew S. Eberhard, Xiaodong Li
Learning Primal Heuristics for Mixed Integer Programs. CoRR (2021)
Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li
Novelty particle swarm optimisation for truss optimisation problems. GECCO Companion (2021)
Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. CoRR (2021)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew S. Eberhard, Andreas T. Ernst
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. CoRR (2021)
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) (2021)
Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li
Bayesian preference learning for interactive multi-objective optimisation. GECCO (2021)
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) (2020)
Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. CoRR (2020)
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) (2020)
Mohammad Haqqani, Xiaodong Li, Xinghuo Yu
Non-deterministic journey planning in multi-modal transportation networks: a meta-heuristic approach. GECCO (2020)
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) (2020)
Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI (2020)
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)
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun
Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach. GECCO (2020)
Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan
Instance Space Analysis for the Car Sequencing Problem. CoRR (2020)
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 (2020)
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)
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) (2019)
Hamza Turabieh, Majdi M. Mafarja, Xiaodong Li
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction. Expert Syst. Appl. 122 (2019)
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)
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 (2019)
Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar
Decomposition for Large-scale Optimization Problems with Overlapping Components. CEC (2019)
Yutao Qi, Xiaodong Li, Jusheng Yu, Qiguang Miao
User-preference based decomposition in MOEA/D without using an ideal point. Swarm Evol. Comput. 44 (2019)
Kendall Taylor, Xiaodong Li, Jeffrey Chan
Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. CEC (2019)
Behrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li
NSGA-II for Solving Multiobjective Integer Minimum Cost Flow Problem with Probabilistic Tree-Based Representation. EMO (2019)
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 (2019)
Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Florian 'Floyd' Mueller, Xiaodong Li
Measuring player skill using dynamic difficulty adjustment. ACSW (2018)
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 (2018)
Mohammad Haqqani, Xiaodong Li, Xinghuo Yu
Multi-objective journey planning under uncertainty: a genetic approach. GECCO (2018)
Yuan Sun, Michael Kirley, Xiaodong Li
Cooperative co-evolution with online optimizer selection for large-scale optimization. GECCO (2018)
Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO (2018)
Angus Kenny, Xiaodong Li, Andreas T. Ernst
A merge search algorithm and its application to the constrained pit problem in mining. GECCO (2018)
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)
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) (2018)
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) (2018)
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) (2018)
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)
Mohammad Haqqani, Homayoon Ashrafzadeh, Xiaodong Li, Xinghuo Yu
Conditional Preference Learning for Personalized and Context-Aware Journey Planning. PPSN (1) (2018)
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)
Marco Tamassia, Fabio Zambetta, William L. Raffe, Florian Mueller, Xiaodong Li
Learning Options From Demonstrations: APac-ManCase Study. IEEE Trans. Games 10 (1) (2018)
Behrooz Ghasemishabankareh, Melih Ozlen, Frank Neumann, Xiaodong Li
A Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow Problems. PPSN (1) (2018)
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 (2018)
Kendall Taylor, Xiaodong Li
Interactive multiobjective optimisation: preference changes and algorithm responsiveness. GECCO (2018)
Francesco Fico, Francesco Urbino, Robert Carrese, Pier Marzocca, Xiaodong Li
Surrogate-Assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils. ACALCI (2017)
Angus Kenny, Xiaodong Li, Andreas T. Ernst, Dhananjay R. Thiruvady
Towards solving large-scale precedence constrained production scheduling problems in mining. GECCO (2017)
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) (2017)
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) (2017)
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 (2017)
Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Aditya Ghose, Xiaodong Li
Multi-objective search-based approach to estimate issue resolution time. PROMISE (2017)
Yutao Qi, Haodong Guo, Xiaodong Li
Extending the Delaunay Triangulation Based Density Measurement to Many-Objective Optimization. ACALCI (2017)
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) (2017)
Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Xiaodong Li, Florian 'Floyd' Mueller
Monte Carlo tree search based algorithms for dynamic difficulty adjustment. CIG (2017)
Mohammad Nabi Omidvar, Xiaodong Li
Evolutionary large-scale global optimization: an introduction. GECCO (Companion) (2017)
Jinhua Zheng, Guo Yu, Qiaofeng Zhu, Xiaodong Li, Juan Zou
On decomposition methods in interactive user-preference based optimization. Appl. Soft Comput. 52 (2017)
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) (2017)
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 (2017)
Jian Lin, Dike Luo, Xiaodong Li, Kaizhou Gao, Yanan Liu
Differential Evolution Based Hyper-heuristic for the Flexible Job-Shop Scheduling Problem with Fuzzy Processing Time. SEAL (2017)
Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb
Multimodal truss structure design using bilevel and niching based evolutionary algorithms. GECCO (2017)
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) (2017)
Angus Kenny, Xiaodong Li
A Study on Pre-training Deep Neural Networks Using Particle Swarm Optimisation. SEAL (2017)
Sven Schellenberg, Xiaodong Li, Zbigniew Michalewicz
Preliminary Study on Solving Coal Processing and Blending Problems Using Lexicographic Ordering. Australasian Conference on Artificial Intelligence (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaodong Li