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By Hagander N., Sundblad Y.

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Monson, Kevin D. Seppi 129 140 Adaptive and Evolvable Network Services Tadashi Nakano, Tatsuya Suda 151 Grammatical Swarm Michael O’Neill, Anthony Brabazon 163 A New Universal Cellular Automaton Discovered by Evolutionary Algorithms Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Chabrier, Pierre Collet 175 An Interactive Artificial Ant Approach to Non-photorealistic Rendering Yann Semet, Una-May O’Reilly, Frédo Durand 188 Automatic Creation of Team-Control Plans Using an Assignment Branch in Genetic Programming Walter A.

Monson, Kevin D. Seppi 129 140 Adaptive and Evolvable Network Services Tadashi Nakano, Tatsuya Suda 151 Grammatical Swarm Michael O’Neill, Anthony Brabazon 163 A New Universal Cellular Automaton Discovered by Evolutionary Algorithms Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Chabrier, Pierre Collet 175 An Interactive Artificial Ant Approach to Non-photorealistic Rendering Yann Semet, Una-May O’Reilly, Frédo Durand 188 Automatic Creation of Team-Control Plans Using an Assignment Branch in Genetic Programming Walter A.

6. c. motor scheme (indicating the sensors) Fig. 7. c. motor sented method relate to the possibility of make PID tuning when other methods have failed. Satisfactory results were observed through the exhibited tests in the paper. It is intented that the Genetic PID approach can be connected easily as a backup controller for other adaptive controllers. It is remarkable that the Genetic PID approach proposed does not require to know the process features, because an estimation stage (RLS) can be used.

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