Abstract
This paper presents an interactive platform to interpret multi-objective evolutionary algorithms. Sokoban level generation is selected as a showcase for its widespread use in procedural content generation. By balancing the emptiness and spatial diversity of Sokoban levels, we illustrate the improved two-archive algorithm, Two-Arch2, a well-known multi-objective evolutionary algorithm. Our web-based platform integrates Two-Arch2 into an interface that visually and interactively demonstrates the evolutionary process in real-time. Designed to bridge theoretical optimisation strategies with practical game generation applications, the interface is also accessible to both researchers and beginners to multi-objective evolutionary algorithms or procedural content generation on a website. Through dynamic visualisations and interactive gameplay demonstrations, this web-based platform also has potential as an educational tool.
| Original language | English |
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| Title of host publication | Proceedings of the 2024 IEEE Conference on Games, CoG 2024 |
| Publisher | IEEE Computer Society |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350350678 |
| DOIs | |
| Publication status | Published - Aug 2024 |
| Externally published | Yes |
| Event | 6th Annual IEEE Conference on Games, CoG 2024 - Milan, Italy Duration: 5 Aug 2024 → 8 Aug 2024 |
Publication series
| Name | IEEE Conference on Computatonal Intelligence and Games, CIG |
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| ISSN (Print) | 2325-4270 |
| ISSN (Electronic) | 2325-4289 |
Conference
| Conference | 6th Annual IEEE Conference on Games, CoG 2024 |
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| Country/Territory | Italy |
| City | Milan |
| Period | 5/08/24 → 8/08/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Funding
This work was supported by the National Key R&D Program of China (Grant No. 2023YFE0106300), the National Natural Science Foundation of China (Grant No. 62250710682), the Shenzhen Science and Technology Program (Grant No. 20220815181327001), the Guangdong Provincial Key Laboratory (Grant No. 2020B121201001), and the Research Institute of Trustworthy Autonomous Systems.
Keywords
- Multi-objective Evolutionary Algorithms
- Multi-objective Optimisation
- Procedural Content Generation
- Two-Arch2