Abstract
Mathematical optimization techniques have been applied to room acoustic modeling within CATT‐A. Stochastic optimization methods such as genetic algorithms, pattern search, and ant colony optimization are used via software integration between MATLAB and CATT‐A, allowing for acoustic parameter specific optimization of variable room geometry. The optimization routines rely on results from geometrical ray tracing, which informs the designer on aspects of room acoustics that empirical formulas cannot take into account. An example is presented showing an algorithm that optimizes placement of sound absorbing treatment to obtain a fixed speech transmission index using minimal sound absorbing material in a classroom setting.
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