Application of genetic programming and response surface methodology to optimization and inverse problems

摘要: Publisher Summary Response surface methodology is a method of constructing approximations the system behavior using results response analysis calculated at series points in variable space. The approximation functions are obtained by least-squares method. One main problems application such techniques necessity to select structure function. Genetic Programming used for creation solution optimization and inverse problems. relatively new form Artificial Intelligence, based on ideas Darwinian evolution genetics. Two important aspects problem addressed: choice plan experiments model tuning fitting. A test example presented where technique applied simple problem.