%0 Conference Paper %1 Moriarty:1998:henn %A Moriarty, David E. %A Miikkulainen, Risto %B Proceedings of the 1998 IEEE World Congress on Computational Intelligence %C Anchorage, Alaska, USA %D 1998 %I IEEE Press %K SANE algorithms, genetic programming, %P 428--433 %T Hierarchical Evolution of Neural Networks %U http://nn.cs.utexas.edu/downloads/papers/moriarty.icec98.ps.gz %X In most applications of neuro-evolution, each individual in the population represents a complete neural network. Retent work on the SANE system, however, has demonstrated that evolving individual neurons often produces a more efficient genetic search. This paper demonstrates that while SANE can solve easy tasks very quickly, it often stalls in larger problems. A hierarchical approach to neuro-evolution is presented that overcomes SANE' s difficul ties by integrating both a neuron-level exploratory search and a network-level exploitive search. In a robot arm manipulation task, the hierarchical approach outperforms both a neuron-based search and a network-based search.

@inproceedings{Moriarty:1998:henn, abstract = {In most applications of neuro-evolution, each individual in the population represents a complete neural network. Retent work on the SANE system, however, has demonstrated that evolving individual neurons often produces a more efficient genetic search. This paper demonstrates that while SANE can solve easy tasks very quickly, it often stalls in larger problems. A hierarchical approach to neuro-evolution is presented that overcomes SANE' s difficul ties by integrating both a neuron-level exploratory search and a network-level exploitive search. In a robot arm manipulation task, the hierarchical approach outperforms both a neuron-based search and a network-based search.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Anchorage, Alaska, USA}, author = {Moriarty, David E. and Miikkulainen, Risto}, biburl = {https://www.bibsonomy.org/bibtex/2ab7dd04a4efeb353b400d1e1295db763/brazovayeye}, booktitle = {Proceedings of the 1998 IEEE World Congress on Computational Intelligence}, file = {c074.pdf}, interhash = {2260f66a25ea9f86bd050b49ad7a9bb0}, intrahash = {ab7dd04a4efeb353b400d1e1295db763}, keywords = {SANE algorithms, genetic programming,}, month = {5-9 May}, notes = {ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE World Congress on Computational Intelligence}, pages = {428--433}, publisher = {IEEE Press}, size = {6 pages}, timestamp = {2008-06-19T17:47:41.000+0200}, title = {Hierarchical Evolution of Neural Networks}, url = {http://nn.cs.utexas.edu/downloads/papers/moriarty.icec98.ps.gz}, year = 1998 }