%0 Conference Paper %1 wada:1994:essf %A Wada, Ken-nosuke %A Wada, Yoshiko %A Doi, Hirofumi %A Tanaka, Shin-ichi %A Furusawa, Mitsuri %B Proceedings of IEEE International Conference on Evolutionary Computation (ICEC-94), World Congress on Computational Intelligence %C Orlando, Florida, USA %D 1994 %I IEEE Computer Society Press, New York %K algorithms, automata cellular genetic %P 796--801 %T Evolutionary Systems: Structures and Functions

@inproceedings{wada:1994:essf, added-at = {2008-06-19T17:46:40.000+0200}, address = {Orlando, Florida, USA}, author = {Wada, {Ken-nosuke} and Wada, Yoshiko and Doi, Hirofumi and Tanaka, {Shin-ichi} and Furusawa, Mitsuri}, biburl = {https://www.bibsonomy.org/bibtex/2c8c3251065f18be4133b2737c23ef11a/brazovayeye}, booktitle = {Proceedings of IEEE International Conference on Evolutionary Computation (ICEC-94), World Congress on Computational Intelligence}, interhash = {9759b671d19f63437b92d7a653306e21}, intrahash = {c8c3251065f18be4133b2737c23ef11a}, keywords = {algorithms, automata cellular genetic}, month = {27-29 June}, notes = {Not really a GP but a wide ranging article, includes evolution of cellular automata. On a 0-1 knapsack problem GA does better than Simulated annealing and Hopfield neural net but branch and bound does better than it. models gene duplication, different mutation rates on the two strands of DNA (observed in E-coli). ERATO. Argues for mutations building up where they make no difference until environment changes, when some may be beneficial.}, pages = {796--801}, publisher = {IEEE Computer Society Press, New York}, timestamp = {2008-06-19T17:53:43.000+0200}, title = {Evolutionary Systems: Structures and Functions}, year = 1994 }