Miqing Li

Venues

Frequent coauthors

Papers

1. A Heterogeneous Ant Colony Framework with Semantic Manifold Learning for Dynamic Ore-Flow Blending
   GECCO 2026 ·

   Hao Tang

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2. CV-PORTAL: A Benchmark Generator for Constrained Optimization with Fully Controllable Feasible Regions
   GECCO 2026 ·

   Mengli Shan

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3. Combinatorial Optimisation Can be Different from Continuous Optimisation for MOEAs
   GECCO 2026 · Miqing Li
4. DynPORTAL: A Highly-configurable Benchmark Generator for Evolutionary Dynamic Optimization
   GECCO 2026 ·

   Mai Peng

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5. From Population to Individual: A New Evolutionary Model for Multi-Objective CMA-ES
   PPSN 2026 ·

   Zheng Tan

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6. Hot off the Press: A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
   GECCO 2026 ·

   Shengjie Ren

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7. Hot off the Press: Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
   GECCO 2026 ·

   Chao Bian

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8. Hot-Off-The-Press: Random is Faster than Systematic Exploration in Multi-Objective Local Search
   GECCO 2026 ·

   Zimin Liang

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9. Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
   AAAI 2026 ·

   Shengjie Ren

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10. On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
    GECCO 2026 ·

    Menghao Tang

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11. Random is Faster than Systematic in Multi-Objective Local Search
    AAAI 2026 ·

    Zimin Liang

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12. A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
    IJCAI 2025 ·

    Shengjie Ren

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13. An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
    GECCO 2025 ·

    Chao Bian

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14. Combinatorial Optimisation Can be Different from Continuous Optimisation for MOEAs
    GECCO 2025 · Miqing Li
15. Hot Off the Press: Multi-Objectivising Acquisition Functions in Bayesian Optimisation
    GECCO 2025 ·

    Chao Jiang

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16. Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
    GECCO 2025 ·

    Shengjie Ren

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17. Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation
    AAAI 2025 ·

    Chao Jiang

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18. When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation
    GECCO 2025 ·

    Zhiji Cui

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19. A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2)
    PPSN 2024 ·

    Shengjie Ren

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20. An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
    IJCAI 2024 ·

    Chao Bian

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21. Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
    IJCAI 2024 ·

    Shengjie Ren

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22. Pareto Landscape: Visualising the Landscape of Multi-objective Optimisation Problems
    PPSN 2024 ·

    Zimin Liang

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