Optimization using chaotic neural network and its application to lighting design

• Autorzy: Nanba R. , Hasegawa M. , Nishita T. , Aihara K.
• Języki publikacji: EN

Abstrakty

EN

We have developed a chaotic neurodynamical searching method for solving the lighting design problems. The goal of this method is to design interior lighting that satisfies required illuminance distribution. We can obtain accurate illuminance distribution by using the radiosity method to calculate interreflection of lights. We formulate the lighting design problem that considers the interreflection of lights as a combinatorial optimization problem, and construct a chaotic neural network which searches the optimum solution of the lighting design problem. The calculated illuminance distribution is visualized using computer graphics. We compare this optimization method with the conventional neural network with gradient dynamics, simulated annealing, and the genetic algorithm, and clarify the effectiveness of the proposed method based on the chaotic neural network.

Słowa kluczowe

EN

chaotic neural networks; combinatorial optimization problem; computer graphics; genetic algorithm; lighting design; radiosity method; simulated annealing

PL

algorytm genetyczny; denaturacja symulowana; grafika komputerowa; metoda energetyczna; model świetlny; sieć neuronowa chaotyczna; zagadnienie optymalizacji kombinatorycznej

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2002
• Tom: Vol. 31, no 2
• Strony: 249--269
• Opis fizyczny: Bibliogr. 24 poz.,Rys., wykr.,

Twórcy

autor

Nanba R.

autor

Hasegawa M.

autor

Nishita T.

autor

Aihara K.