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1	Procedural Generation of Levels with Controllable Difficulty for a Platform Game Using a Genetic Algorithm / Procedurell generering av banor med kontrollerbar svårighetsgrad till ett platformspel med hjälp av en genetisk algoritm Classon, Johan, Andersson, Viktor January 2016 (has links) This thesis describes the implementation and evaluation of a genetic algorithm (GA) for procedurally generating levels with controllable difficulty for a motion-based 2D platform game. Manually creating content can be time-consuming, and it may be desirable to automate this process with an algorithm, using Procedural Content Generation (PCG). An algorithm was implemented and then refined with an iterative method by conducting user tests. The resulting algorithm is considered a success and shows that using GA's for this kind of PCG is viable. An algorithm able to control difficulty of its output was achieved, but more refinement could be made with further user tests. Using a GA for this purpose, one should find elements that affect difficulty, incorporate these in the fitness function, and test generated content to ensure that the fitness function correctly evaluates solutions with regard to the desired output. Genetic algorithm level generation generator platform game fitness function PCG procedural content generation SBPCG Search-Based PCG Genetisk algoritm bangenerering generator platformspel platform fitness funktion procedurell innehållsgenerering PCG SBPCG sökbaserad PCG Computer Sciences Datavetenskap (datalogi)

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Procedural Generation of Levels with Controllable Difficulty for a Platform Game Using a Genetic Algorithm / Procedurell generering av banor med kontrollerbar svårighetsgrad till ett platformspel med hjälp av en genetisk algoritm