Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2022
Abstract
Creative procedural generation requires, by its nature, a nondeterministic result. Each set of outputs has to satisfy the required criteria and, at the same time, has to show unique results to be considered creative. One of the keys to increasing nondeterminism is to use fuzzy neutrosophic sets. A combination of a CoCoSo multi-criteria decision algorithm with a genetic algorithm to generate game scenes was proposed. The algorithm satisfies the required game rules and improves the aesthetics value of the visual game scene. The proposed approach seeks to produce a creative solution which satisfies the replayability principle, when the solution is not optimal in the optimization procedure sense. In this paper, improvements of the CoCoSo method were proposed in order to work with iterative genetic algorithm.
Publication Title
Studies in Informatics and Control
Language (ISO)
English
Keywords
MCDM, CoCoSo, Genetic algorithm, Procedural generation, Games, Neutrosophic sets.
Recommended Citation
PETROVAS, Aurimas; Romualdas BAUSYS; Edmundas Kazimieras ZAVADSKAS; and Florentin Smarandache. "Generation of Creative Game Scene Patterns by the Neutrosophic Genetic CoCoSo Method." Studies in Informatics and Control (2022). https://digitalrepository.unm.edu/math_fsp/591
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
