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City New York / Copenhagen / Milan / London / / Company Super Mario Bros / MIT Press / Compositional PatternProducing Networks / AAAI Press / Compositional Pattern-Producing Networks / IEEE Press / / Country Italy / United States / United Kingdom / Denmark / / / Facility IT University of Copenhagen / / IndustryTerm evaluation tool / search-based constrained optimization / obvious solutions / baseline solutions / neuroevolutionary constrained optimization algorithm / neural networks / ad-hoc designed solutions / conceptual device / evolutionary algorithm / obvious ad-hoc baseline solutions / search-based optimization / Ad-hoc baseline solutions / obvious ad-hoc design solution / search algorithms / genetic algorithm / feasible solution / ad-hoc designed baseline solutions / Genetic algorithms / adequate authoring tool / search-based optimization problems / neuroevolutionary constraint satisfaction algorithm / larger search space / optimum solution / search space / ad-hoc solutions / search-based procedural content generation / / Organization AI / MIT / Computational Intelligence / Combat / United Nations / Center for Computer Games Research / University of Copenhagen / Combat and Survival / / Person Georgios N. Yannakakis / Julian Togelius / Rogue / / Position game designer / elaborate steering controller / player / particular player / human designer / complex steering controller / given steering controller / specific player / early steering controller / steering controller / designer / Player Experience / controller / / Product M-16 / / ProgrammingLanguage XML / / Technology genetic engineering / evolutionary algorithm / search algorithms / neuroevolutionary constrained optimization algorithm / neuroevolutionary constraint satisfaction algorithm / Laser / Feasible-Infeasible Two-Population genetic algorithm / simulation / B. FI-2Pop While genetic algorithms / / SocialTag 
Neuroevolutionary Constrained Optimization for Content Creation Antonios Liapis, Georgios N. Yannakakis, Member, IEEE and Julian Togelius, Member, IEEE Abstract— This paper presents a constraint-based procedural conten