Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework

Yunhan Wang

doi:10.47297/taposatWSP2633-456929.20260702

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Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework

7卷第2期

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Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework
Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework
Swanburn Institute,Shandong University of Science and Technology, Qingdao, Shandong, 250031, China
2026年7卷第2期页码：147-150
纸质出版：2026-02-28
DOI：10.47297/taposatWSP2633-456929.20260702
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Yunhan Wang. (2026). Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework. 科技理论与实践（英文版）, 7(2), 147-150.

Wang Yunhan.Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework[J].Theory and Practice of Science and Technology,2026,07(02):147-150.
Yunhan Wang. (2026). Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework. 科技理论与实践（英文版）, 7(2), 147-150. DOI： 10.47297/taposatWSP2633-456929.20260702.

Wang Yunhan.Multi-Objective Optimization for MOBA Matchmaking Using NSGA-II: A Review of Queueing-Based Modeling and a Modeling–Optimization–Evaluation Framework[J].Theory and Practice of Science and Technology,2026,07(02):147-150. DOI： 10.47297/taposatWSP2633-456929.20260702.

摘要

Abstract

Massively multiplayer online battle arena (MOBA) matchmaking requires long-term trade-offs among fairness

waiting time

and system efficiency. Recent studies formulate matchmaking as a queueing and dynamic matching problem

and incorporate globally optimized sequential decision-making and engagement-oriented objectives to capture long-run outcomes; meanwhile

multi-objective evolutionary algorithms

represented by NSGA-II

characterize inherent objective conflicts through Pareto solution sets and provide interpretable trade-off options for policy selection. This review is organized around a three-layer "modeling-optimization-evaluation" framework: it summarizes computable modeling components from queueing theory and dynamic matching

synthesizes how NSGA-II encodes matchmaking policy parameters and handles operational constraints

and consolidates offline performance metrics together with quality indicators for evaluating Pareto sets.

关键词

Keywords

references

Xu, M., Yu, Y., Wu, C. (2021) Rule Designs for Optimal Online Game Matchmaking. In: Proceedings of the 40th Chinese Control Conference (CCC 2021). Shanghai, China. pp. 1055–1062.

Wu, Q. (2022) Dynamic matching with teams. Operations Research Letters, 50(5): 618–622.

Ma, H., Zhang, Y., Sun, S., Liu, T., Shan, Y. (2023) A comprehensive survey on NSGA-II for multi-objective optimization and applications. Artificial Intelligence Review, 56: 15217–15270.

Deng, Q., Li, H., Wang, K., Hu, Z., Wu, R., Gong, L., Tao, J., Fan, C., Cui, P. (2021) Globally Optimized Matchmaking in Online Games. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21). Virtual Event, Singapore. pp. 2753–2763.

Chen, M., Elmachtoub, A.N., Lei, X. (2022) Matchmaking Strategies for Maximizing Player Engagement in Video Games. In: Proceedings of the 23rd ACM Conference on Economics and Computation (EC '22). Boulder, CO, USA. pp. 1040–1040.

Guerreiro, A.P., Fonseca, C.M., Paquete, L. (2022) The Hypervolume Indicator: Computational Problems and Algorithms. ACM Computing Surveys, 54(6): 119:1–119:42.

Fan, G., Zhang, Z., Liu, Y., et al. (2024) CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System. Proc. ACM Hum.-Comput. Interact., 8(CSCW2): 1–39.

Aveklouris, A., Puha, A.L., Ward, A.R. (2024) A fluid approximation for a matching model with general reneging distributions. Queueing Systems, 106: 199–238.

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