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

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Breno M. F. Viana, Leonardo T. Pereira, Claudio Fabiano Motta Toledo, Selan R. dos Santos, Sílvia M. D. M. Maia

Published: 01 Jan 2022, Last Modified: 28 Jul 2025Appl. Soft Comput. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Generation of dungeon levels with barrier mechanics.•Grid representation to handle level dependencies.•Evolve levels with more diversity in their contents.•Searching for levels within feasible and infeasible space.•Results evaluation through expressive range analysis.