Miqing Li

Dr.

20082024

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  • 2024

    Multi-Objective Optimization for Flexible Building Space Usage

    Lyu, H., Herring, D., Wang, L., Ninic, J., Andrews, J., Li, M., Kocvara, M., Spill, F. & Wang, S., 25 Mar 2024, (Accepted/In press) IEEE Conference on Artificial Intelligence (CAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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  • 2023

    MOEAs Are Stuck in a Different Area at a Time

    Li, M., Han, X. & Chu, X., 12 Jul 2023, GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), p. 303-311 9 p. (GECCO: Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    1 Citation (Scopus)
    5 Downloads (Pure)
  • Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results

    Liang, Z., Li, M. & Lehre, P. K., 24 Jul 2023, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. Association for Computing Machinery (ACM), p. 383-386 4 p. (GECCO: Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms

    Bian, C., Zhou, Y., Li, M. & Qian, C., 25 Aug 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 5513-5521 9 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    5 Citations (Scopus)
    14 Downloads (Pure)
  • 2022

    Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach

    Xue, Y., Li, M., Arabnejad, H., Suleimenova, D., Jahani, A., Geiger, B. C., Wang, Z., Liu, X. & Groen, D., 22 Jun 2022, Computational Science - ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022, Proceedings, Part III. Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J. & Sloot, P. M. A. (eds.). Springer, p. 497-504 8 p. (Lecture Notes in Computer Science; vol. 13352).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    1 Citation (Scopus)
  • Multi-agent dynamic algorithm configuration

    Xue, K., Xu, J., Yuan, L., Li, M., Qian, C., Zhang, Z. & Yu, Y., 9 Dec 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). NeurIPS, (Advances in neural information processing systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Search-based diverse sampling from real-world software product lines

    Xiang, Y., Huang, H., Zhou, Y., Li, S., Luo, C., Lin, Q., Li, M. & Yang, X., 20 Jun 2022, 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE). IEEE, p. 1945-1957 13 p. (International Conference on Software Engineering. Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    613 Downloads (Pure)
  • 2021

    Multi-objectivizing software configuration tuning

    Chen, T. & Li, M., 20 Aug 2021, ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Spinellis, D., Gousios, G., Chechik, M. & Di Penta, M. (eds.). Association for Computing Machinery (ACM), p. 453–465 13 p. (ACM proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    47 Downloads (Pure)
  • 2020

    Angle-Based Crowding Degree Estimation for Many-Objective Optimization

    Xue, Y., Li, M. & Liu, X., 2020, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). Springer Vieweg, p. 574-586 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12080 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    4 Citations (Scopus)
  • Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions

    Liu, W., Luo, W., Lin, X., Li, M. & Yang, S., Jul 2020, 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 9185747. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)
  • 2019

    An empirical investigation of the optimality and monotonicity properties of multiobjective archiving methods

    Li, M. & Yao, X., 3 Feb 2019, (E-pub ahead of print) Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Deb, K., Goodman, E., Coello Coello, C., Klamroth, K., Miettinen, K., Mostaghim, S. & Reed, P. (eds.). Springer, p. 15-26 12 p. (Lecture Notes in Computer Science - Theoretical Computer Science and General Issues; vol. 11411).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    9 Citations (Scopus)
    342 Downloads (Pure)
  • 2018

    A critical review of "a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering": Essay on quality indicator selection for SBSE

    Li, M., Chen, T. & Yao, X., 27 May 2018, ICSE-NIER 2018 Proceedings of the 2018 ACM/IEEE 40th International Conference on Software Engineering: New Ideas and Emerging Results. Association for Computing Machinery (ACM), p. 17-20 (Proceedings - International Conference on Software Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    15 Citations (Scopus)
    176 Downloads (Pure)
  • On the effects of seeding strategies: A case for search-based multi-objective service composition

    Chen, T., Li, M. & Yao, X., 2018, On the effects of seeding strategies: A case for search-based multi-objective service composition.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2017

    Adjusting parallel coordinates for investigating multi-objective search

    Zhen, L., Li, M., Cheng, R., Peng, D. & Yao, X., 14 Oct 2017, Simulated Evolution and Learning : 11th International Conference, SEAL 2017, Proceedings. Li, X., Zhang, M., Zhang, Q., Middendorf, M., Tan, K. C., Tan, Y., Jin, Y., Shi, Y. & Tang, K. (eds.). Springer, p. 224-235 12 p. (Lecture Notes in Computer Science; vol. 10593 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    10 Citations (Scopus)
    155 Downloads (Pure)
  • A visualization method for benchmark studies of multimodal optimization

    Cheng, R., Li, M. & Yao, X., 2017, A visualization method for benchmark studies of multimodal optimization.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On the use of hypervolume for diversity measurement of Pareto front approximations

    Jiang, S., Yang, S. & Li, M., 9 Feb 2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers (IEEE), 7850225. (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)
  • 2015

    A comparative study use of OTL for many-objective optimization

    Zheng, J., Bai, H., Shen, R. & Li, M., 11 Jul 2015, GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. Silva, S. (ed.). Association for Computing Machinery , p. 1411-1412 2 p. (GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • A hybrid development platform for evolutionary multi-objective optimization

    Shen, R., Zheng, J. & Li, M., 10 Sept 2015, 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), p. 1885-1892 8 p. 7257116. (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)
  • A performance comparison indicator for Pareto front approximations in many-objective optimization

    Li, M., Yang, S. & Liu, X., 11 Jul 2015, GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference. Silva, S. (ed.). Association for Computing Machinery , p. 703-710

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    20 Citations (Scopus)
  • 2014

    A test problem for visual investigation of high-dimensional multi-objective search

    Li, M., Yang, S. & Liu, X., 16 Sept 2014, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers (IEEE), p. 2140-2147 6900306

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    23 Citations (Scopus)
  • 2013

    A comparative study on evolutionary algorithms for many-objective optimization

    Li, M., Yang, S., Liu, X. & Shen, R., 2013, A comparative study on evolutionary algorithms for many-objective optimization.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • IPESA-II: Improved Pareto envelope-based selection algorithm II

    Li, M., Yang, S., Liu, X. & Wang, K., 2013, IPESA-II: Improved Pareto envelope-based selection algorithm II.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2010

    A grid-based fitness strategy for evolutionary many-objective optimization

    Li, M., Zheng, J., Shen, R., Li, K. & Yuan, Q., 2010, Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10. p. 463-470 8 p. (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    33 Citations (Scopus)
  • Enhancing diversity for average ranking method in evolutionary many-objective optimization

    Li, M., Zheng, J., Li, K., Yuan, Q. & Shen, R., 2010, Parallel Problem Solving from Nature, PPSN XI - 11th International Conference, Proceedings. PART 1 ed. p. 647-656 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6238 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    39 Citations (Scopus)
  • Spread assessment for evolutionary multi-objective optimization

    Li, M. & Zheng, J., 2010, Evolutionary Multi-Criterion Optimization - 5th International Conference, EMO 2009, Proceedings. p. 216-230 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5467 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    42 Citations (Scopus)
  • 2009

    A novel algorithm for non-dominated hypervolume-based multiobjective optimization

    Li, K., Zheng, J., Li, M., Zhou, C. & Lv, H., 2009, Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009. p. 5220-5226 7 p. 5345983. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Citations (Scopus)
  • An spanning tree based method for pruning non-dominated solutions in multi-objective optimization problems

    Li, M., Zheng, J., Li, K., Wu, J. & Xiao, G., 2009, Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009. p. 4882-4887 6 p. 5346322. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • 2008

    An efficient multi-objective evolutionary algorithm based on minimum spanning tree

    Li, M., Zheng, J. & Xiao, G., 2008, 2008 IEEE Congress on Evolutionary Computation, CEC 2008. p. 617-624 8 p. 4630860. (2008 IEEE Congress on Evolutionary Computation, CEC 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)
  • Improving NSGA-II algorithm based on minimum spanning tree

    Li, M., Zheng, J. & Wu, J., 2008, Simulated Evolution and Learning - 7th International Conference, SEAL 2008, Proceedings. p. 170-179 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5361 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)
  • Uniformity assessment for evolutionary multi-objective optimization

    Li, M., Zheng, J. & Xiao, G., 2008, 2008 IEEE Congress on Evolutionary Computation, CEC 2008. p. 625-632 8 p. 4630861. (2008 IEEE Congress on Evolutionary Computation, CEC 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    23 Citations (Scopus)