Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913392129736704 |
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| author | Zhang, Qingquan Li, Yuchen Lin, Yuhang Wang, Handing Liu, Jialin |
| author_facet | Zhang, Qingquan Li, Yuchen Lin, Yuhang Wang, Handing Liu, Jialin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_10663 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation Zhang, Qingquan Li, Yuchen Lin, Yuhang Wang, Handing Liu, Jialin Neural and Evolutionary Computing Human-Computer Interaction 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. |
| title | Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation |
| topic | Neural and Evolutionary Computing Human-Computer Interaction |
| url | https://arxiv.org/abs/2406.10663 |