Creative evolutionary systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Persistent realtime building interior generation
Proceedings of the 2006 ACM SIGGRAPH symposium on Videogames
Techniques for highly multiobjective optimisation: some nondominated points are better than others
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Automatic real-time generation of floor plans based on squarified treemaps algorithm
International Journal of Computer Games Technology
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Layout planning is a process of sizing and placing rooms (e.g. in a house) while attempting to optimize various criteria. Often there are conflicting criteria such as construction cost, minimizing the distance between related activities, and meeting the area requirements for these activities. This paper describes new techniques for automating the layout planning process using evolutionary computation. New innovations include allowing polygonal exteriors and multiple floors. Multiobjective ranking algorithms are tested to balance the many objectives in this problem. The evolutionary representation and requirements specification used provide great flexibility in problem scope and depth of problems to be considered. A variety of pleasing plans have been evolved with the approach.