Xiaodong Li 0001 - researchr alias

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Viewing Publication 1 - 55 from 55

2025

An effective approach for early fuel leakage detection with enhanced explainabilityRuimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li 0001. iswa, 26:200504, 2025. [doi]

2024

Enhancing constraint programming via supervised learning for job shop schedulingYuan Sun 0003, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li 0001, Andreas T. Ernst, Uwe Aickelin. kbs, 293:111698, 2024. [doi]

Instance space analysis for the car sequencing problemYuan Sun 0003, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li 0001, Kerri Morgan. anor, 341(1):41-69, October 2024. [doi]

New Tunable Test Problems for Benchmarking Niching Methods for Multimodal OptimizationAli Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li 0001, Michael Epitropakis. gecco 2024: [doi]

Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal OptimizationAli Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li 0001, Michael Epitropakis. gecco 2024: 5-6 [doi]

User-Preference Based Evolutionary Algorithms for Solving Multi-Objective Nonlinear Minimum Cost Flow ProblemsBehrooz Ghasemishabankareh, Xiaodong Li 0001, Melih Ozlen. gecco 2024: [doi]

Improving the Accuracy of Transaction-Based Ponzi Detection on EthereumPhuong Duy Huynh, Son Hoang Dau, Xiaodong Li 0001, Phuc Luong, Emanuele Viterbo. provsec 2025: 277-287 [doi]

Adaptive Stabilization Based on Machine Learning for Column GenerationYunzhuang Shen, Yuan Sun 0003, Xiaodong Li 0001, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang 0001. icml 2024: [doi]

Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective OptimisationKendall Peter Taylor, Huong Ha, Minyi Li 0001, Xiaodong Li 0001, Jeffrey Chan. gecco 2024: 371-374 [doi]

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertaintyDhananjay R. Thiruvady, Su Nguyen, Yuan Sun 0003, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li 0001. ijpr, 62(17):6227-6250, 2024. [doi]

Machine Learning-Enhanced Ant Colony Optimization for Column GenerationHongjie Xu, Yunzhuang Shen, Yuan Sun 0003, Xiaodong Li 0001. gecco 2024: [doi]

Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous ChangesDanial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li 0001, Amir H. Gandomi, Xin Yao 0001. gecco 2024: [doi]

2023

Learning to Generate Columns with Application to Vertex ColoringYuan Sun 0003, Andreas T. Ernst, Xiaodong Li 0001, Jake Weiner. iclr 2023: [doi]

Automatic meter error detection with a data-driven approachRuimin Chu, Li Chik, Jeffrey Chan, Kurt Gutzmann, Xiaodong Li 0001. eaai, 123(Part C):106466, 2023. [doi]

Multiobjectivization of Single-Objective Optimization in Evolutionary Computation: A SurveyXiaoliang Ma, Zhitao Huang, Xiaodong Li 0001, Yutao Qi, Lei Wang 0018, Zexuan Zhu. tcyb, 53(6):3702-3715, June 2023. [doi]

Large-Scale Optimization and LearningMohammad Nabi Omidvar, Yuan Sun 0003, Xiaodong Li 0001. gecco 2023: 1477-1502 [doi]

Adaptive solution prediction for combinatorial optimizationYunzhuang Shen, Yuan Sun 0003, Xiaodong Li 0001, Andrew C. Eberhard, Andreas T. Ernst. eor, 309(3):1392-1408, 2023. [doi]

Ranking constraint relaxations for mixed integer programs using a machine learning approachJake Weiner, Andreas T. Ernst, Xiaodong Li 0001, Yuan Sun 0003. ejco, 11:100061, January 2023. [doi]

2022

Boosting ant colony optimization via solution prediction and machine learningYuan Sun 0003, Sheng Wang, Yunzhuang Shen, Xiaodong Li 0001, Andreas T. Ernst, Michael Kirley. cor, 143:105769, 2022. [doi]

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation ProblemsHirad Assimi, Frank Neumann 0001, Markus Wagner 0007, Xiaodong Li 0001. evoW 2022: 111-126 [doi]

A speciation-based bilevel niching method for multimodal truss design problemsMd. Jakirul Islam, Xiaodong Li 0001, Kalyanmoy Deb. jco, 44(1):172-206, 2022. [doi]

Enhanced Multifactorial Evolutionary Algorithm With Meme Helper-TasksXiaoliang Ma, Jian Yin 0004, Anmin Zhu, Xiaodong Li 0001, Yanan Yu, Lei Wang 0018, Yutao Qi, Zexuan Zhu. tcyb, 52(8):7837-7851, 2022. [doi]

Merged Differential Grouping for Large-Scale Global OptimizationXiaoliang Ma, Zhitao Huang, Xiaodong Li 0001, Lei Wang 0018, Yutao Qi, Zexuan Zhu. tec, 26(6):1439-1451, 2022. [doi]

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part IIMohammad Nabi Omidvar, Xiaodong Li 0001, Xin Yao 0001. tec, 26(5):823-843, 2022. [doi]

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part IMohammad Nabi Omidvar, Xiaodong Li 0001, Xin Yao 0001. tec, 26(5):802-822, 2022. [doi]

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph ColoringYunzhuang Shen, Yuan Sun 0003, Xiaodong Li 0001, Andrew S. Eberhard, Andreas T. Ernst. AAAI 2022: 9926-9934 [doi]

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertaintyDhananjay R. Thiruvady, Su Nguyen, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li 0001. swevo, 69:101029, 2022. [doi]

2021

Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique ProblemsYuan Sun 0003, Xiaodong Li 0001, Andreas T. Ernst. pami, 43(5):1746-1760, 2021. [doi]

A tri-objective preference-based uniform weight design method using Delaunay triangulationDazhuang Liu, Yutao Qi, Rui Yang, Yi-Ning Quan, Xiaodong Li 0001, Qiguang Miao. soco, 25(15):9703-9729, 2021. [doi]

Improving Evolutionary Multitasking Optimization by Leveraging Inter-Task Gene Similarity and Mirror TransformationXiaoliang Ma, Yongjin Zheng, Zexuan Zhu, Xiaodong Li 0001, Lei Wang, Yutao Qi, Junshan Yang. cim, 16(4):38-53, 2021. [doi]

Finding Representative Solutions in Multimodal Optimization for Enhanced Decision-MakingAndreas Miessen, Jaromil Najman, Xiaodong Li 0001. In Mike Preuss, Michael G. Epitropakis, Xiaodong Li 0001, Jonathan E. Fieldsend, editors, Metaheuristics for Finding Multiple Solutions. Natural Computing Series, pages 57-88, Springer, 2021. [doi]

Multimodal Optimization: Formulation, Heuristics, and a Decade of AdvancesMike Preuss, Michael Epitropakis, Xiaodong Li 0001, Jonathan E. Fieldsend. In Mike Preuss, Michael G. Epitropakis, Xiaodong Li 0001, Jonathan E. Fieldsend, editors, Metaheuristics for Finding Multiple Solutions. Natural Computing Series, pages 1-26, Springer, 2021. [doi]

Bayesian preference learning for interactive multi-objective optimisationKendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li 0001. gecco 2021: 466-475 [doi]

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybridJake Weiner, Andreas T. Ernst, Xiaodong Li 0001, Yuan Sun 0003, Kalyanmoy Deb. eor, 293(3):847-862, 2021. [doi]

2020

Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functionsBehrooz Ghasemishabankareh, Xiaodong Li 0001, Melih Ozlen, Frank Neumann 0001. asc, 86, 2020. [doi]

A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problemsBehrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li 0001, Kalyanmoy Deb. soco, 24(2):1153-1169, 2020. [doi]

Non-deterministic journey planning in multi-modal transportation networks: a meta-heuristic approachMohammad Haqqani, Xiaodong Li 0001, Xinghuo Yu 0001. gecco 2020: 1098-1106 [doi]

A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary AlgorithmsXiaoliang Ma, Yanan Yu, Xiaodong Li 0001, Yutao Qi, Zexuan Zhu. tec, 24(4):634-649, 2020. [doi]

An adaptive penalty-based boundary intersection method for many-objective optimization problemYutao Qi, Dazhuang Liu, Xiaodong Li 0001, Jiaojiao Lei, Xiaoying Xu, Qiguang Miao. isci, 509:356-375, 2020. [doi]

Reducing Perceived Waiting Time in Theme Park Queues via an Augmented Reality GameFabio Zambetta, William L. Raffe, Marco Tamassia, Florian 'Floyd' Mueller, Xiaodong Li 0001, Niels Quinten, Rakesh Patibanda, Daniel Dang, Jon Satterley. TOCHI, 27(1), 2020. [doi]

2019

Decomposition for Large-scale Optimization Problems with Overlapping ComponentsYuan Sun 0003, Xiaodong Li 0001, Andreas T. Ernst, Mohammad Nabi Omidvar. cec 2019: 326-333 [doi]

Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player EnjoymentSimon Demediuk, Marco Tamassia, Xiaodong Li 0001, William L. Raffe. acsw 2019: [doi]

NSGA-II for Solving Multiobjective Integer Minimum Cost Flow Problem with Probabilistic Tree-Based RepresentationBehrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li 0001. emo 2019: 541-552 [doi]

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problemsBorhan Kazimipour, Mohammad Nabi Omidvar, A. Kai Qin, Xiaodong Li 0001, Xin Yao 0001. asc, 76:265-281, 2019. [doi]

A Survey on Cooperative Co-Evolutionary AlgorithmsXiaoliang Ma, Xiaodong Li 0001, Qingfu Zhang 0001, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu. tec, 23(3):421-441, 2019. [doi]

2018

Adaptive threshold parameter estimation with recursive differential grouping for problem decompositionYuan Sun 0003, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li 0001. gecco 2018: 889-896 [doi]

A Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow ProblemsBehrooz Ghasemishabankareh, Melih Ozlen, Frank Neumann 0001, Xiaodong Li 0001. ppsn 2018: 69-81 [doi]

A merge search algorithm and its application to the constrained pit problem in miningAngus Kenny, Xiaodong Li 0001, Andreas T. Ernst. gecco 2018: 316-323 [doi]

Binary dragonfly optimization for feature selection using time-varying transfer functionsMajdi M. Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, Hossam Faris, Philippe Fournier-Viger, Xiaodong Li 0001, Seyedali Mirjalili. kbs, 161:185-204, 2018. [doi]

Enhancing robustness of the inverted PBI scalarizing method in MOEA/DYutao Qi, Jusheng Yu, Xiaodong Li 0001, Yi-Ning Quan, Qiguang Miao. asc, 71:1117-1132, 2018. [doi]

Learning Options From Demonstrations: APac-ManCase StudyMarco Tamassia, Fabio Zambetta, William L. Raffe, Florian Mueller 0001, Xiaodong Li 0001. tciaig, 10(1):91-96, 2018. [doi]

2003

Comparing particle swarms for tracking extrema in dynamic environmentsXiaodong Li 0001, Khanh Hoa Dam. cec 2003: 1772-1779 [doi]

Pyramid search: finding solutions for deceptive problems quickly in genetic programmingVictor Ciesielski, Xiaodong Li 0001. cec 2003: 936-943 [doi]

2002

The effects of varying population density in a fine-grained parallel genetic algorithmXiaodong Li 0001, Michael Kirley. cec 2002: 1709-1714 [doi]

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