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Feasible–Infeasible Two-Population Genetic Algorithm to evolve dungeon levels with dependencies in barrier mechanics

  • Published:2022-04 Issue: Volume:119 Page:108586
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Viana Breno M.F.ORCID,Pereira Leonardo T.,Toledo Claudio F.M.ORCID,dos Santos Selan R.ORCID,Maia Silvia M.D.M.ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Software

Reference34 articles.

1. Rogue;Toy,1980

2. The binding of isaac;McMillen,2011

3. Moonlighter;Sun,2018

4. Dead cells;Twin,2018

5. Procedural generation of dungeons;van der Linden;IEEE Trans. Comput. Intell. AI Games,2014

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A mixed-initiative design framework for procedural content generation using reinforcement learning;Entertainment Computing;2025-01

2. 2-Step Evolutionary Algorithm for the generation of dungeons with lock door missions using horizontal symmetry;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. A Context-Aware Approach Framework to Algorithm Selection for Search Based Procedural Content Generation;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04

4. Literally Unplayable: On Constraint-Based Generation of Uncompletable Levels;Proceedings of the 19th International Conference on the Foundations of Digital Games;2024-05-21

5. Sturgeon-MKIII: Simultaneous Level and Example Playthrough Generation via Constraint Satisfaction with Tile Rewrite Rules;Proceedings of the 18th International Conference on the Foundations of Digital Games;2023-04-12
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