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Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics

Breno Mauricio de Freitas Viana Leonardo Tortoro Pereira; Claudio Fabiano Motta Toledo; Selan Rodrigues dos Santos; Sílvia Maria Diniz Monteiro Maia

Applied Soft Computing Amsterdam : Elsevier v. 119, p. 1-16, 2022

Available at ICMC - Inst. Ciên. Mat. Computação (PROD-3067324 )(GetIt)

Title:
Feasible-infeasible two-population genetic algorithm to evolve dungeon levels with dependencies in barrier mechanics
Author: Breno Mauricio de Freitas Viana
Leonardo Tortoro Pereira; Claudio Fabiano Motta Toledo; Selan Rodrigues dos Santos; Sílvia Maria Diniz Monteiro Maia
Subjects: JOGOS DE COMPUTADOR; OTIMIZAÇÃO RESTRITA; ALGORITMOS GENÉTICOS; Level Generation; Procedural Content Generation; Barrier Mechanics; Video Games
Is Part Of: Applied Soft Computing Amsterdam : Elsevier v. 119, p. 1-16, 2022
Notes: Disponível em: https://doi.org/10.1016/j.asoc.2022.108586. Acesso em: 14 mar. 2022
Publisher: Amsterdam
Creation Date: 2022
Format: p. 1-16.
Language: English

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