Dwarf Fortress / ACM Digital Library / IT University of Copenhagen / Blekinge Institute of Technology / /
IndustryTerm
generation algorithm / technology tree / vespene gas / software agents / faster car / procedural terrain generation using software agents / infeasible solutions / multiobjective evolutionary algorithm / real-time terrain generation / gas wells / continuous search space / automatic online content creation / black box algorithms / evolutionary algorithm / generate-and-test algorithms / evolutionary algorithms / design support tools / search algorithm / multiobjective evolutionary algorithms / intuitive solution / diamondsquare algorithm / uncomplicated algorithm / classical optimization algorithms / closest gas wells / incomparable solutions / genetic algorithm / i.e. solutions / optimization algorithms / industrial applications / excellent design support tools / search-based method / map generation algorithm / design support tool / search-based approach / evolutionary search / candidate solutions / map creation algorithm / search points / realworld applications / search space / procedural map generation algorithms / fractal-based terrain generation algorithms / multi-objective genetic algorithm / Search-based procedural content generation / i . e .ii . e ..i . e .ei . e ..i . e . i . e .si . e .oi . e .li . e .ui . e .ti . e .ii . e .oi . e .ni . e .si . e . / /
Organization
AI / MIT / Computational Intelligence / Ministry of Science / Technology and Innovation / Danish Research Agency / Queensland Univ. of Technology / United Nations / Congress On Evolutionary Computation / Institute of Technology / University of Copenhagen / /
Person
Nicola Beume / Vega / Simon Wessing / Mike Preuss / Rogue / Johan Hagelb¨ack / /
Position
map editor / Prime Minister / MP / player / good player / particular player / designer / single player / player experience / /
Multiobjective Exploration of the StarCraft Map Space Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelb¨ack, Georgios N. Yannakakis Abstract—This paper presents a search-based method for generati