Publications

This page lists my peer-reviewed publications. For the wider research narrative — including ongoing work — see the Research page.

C. Jiang, S. Ren, Z. Liang, M. Li, C. Qian. One for Exploration and Another for Exploitation: A Dual-Population MOEA Framework with Provable Benefits. In International Joint Conference on Artificial Intelligence (IJCAI), 2026.
Y. Sun, S. Ren, Z. Lv, Z. Liang, M. Li, C. Qian. Towards Practical Problems: Running Time Analysis of MOEAs on Integer Spaces with Local Optima. In International Joint Conference on Artificial Intelligence (IJCAI), 2026.
M. Tang, Z. Liang, M. Li. On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems. In Genetic and Evolutionary Computation Conference Companion (GECCO), 2026.

Z. Liang, M. Li. Random is Faster than Systematic in Multi-objective Local Search. In AAAI Conference on Artificial Intelligence (AAAI), 2026. [PDF] [Code]
S. Ren, Z. Liang, M. Li, C. Qian. Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization. In AAAI Conference on Artificial Intelligence (AAAI), 2026. [PDF] [Code] [arXiv]
Z. Cui, Z. Liang, M. Li. A Problem Landscape Visualisation Method for Multi-Objective Optimisation. In Mathematical and Computational Applications (MCA), 2026. [PDF] [DOI] [Demo]

Z. Liang, M. Li. On the Problem Characteristics of Multi-objective Pseudo-Boolean Functions in Runtime Analysis. In Foundations of Genetic Algorithms (FOGA), 2025. [PDF] [DOI]
S. Ren, Z. Liang, M. Li, C. Qian. A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization. In International Joint Conference on Artificial Intelligence (IJCAI), 2025. [PDF]
Z. Cui, Z. Liang, L. M. Pang, H. Ishibuchi, M. Li. When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation. In Genetic and Evolutionary Computation Conference Companion (GECCO), 2025. [PDF] [DOI] [arXiv]
N. Cui, Q. Liu, J. Dong, Z. Liang, J. Luo. Strategic Allocation of Medical Resources in Disaster Response: A Multi-objective Nonlinear Dynamic Model with Risk and Cost Considerations. In Computers & Industrial Engineering (CAIE), 2025. [PDF] [DOI]

Z. Liang, Z. Cui, M. Li. Pareto Landscape: Visualising the Landscape of Multi-objective Optimisation Problems. In International Conference on Parallel Problem Solving from Nature (PPSN), 2024. [PDF] [DOI] [Demo]
M. Li, X. Han, X. Chu, Z. Liang. Empirical Comparison Between MOEAs and Local Search on Multi-objective Combinatorial Optimisation Problems. In Genetic and Evolutionary Computation Conference (GECCO), pp. 547-556, 2024. [PDF] [DOI]

Z. Liang, M. Li, P. K. Lehre. Non-elitist Evolutionary Multi-objective Optimisation: Proof-of-principle Results. In Genetic and Evolutionary Computation Conference Companion (GECCO), pp. 383-386, 2023. [PDF] [DOI]