%0 Conference Paper %1 aler:2000:G %A Aler, Ricardo %A Borrajo, Daniel %A Isasi, Pedro %B Evolutionary Methods for AI Planning %C Las Vegas, Nevada, USA %D 2000 %E Middendorf, Martin %K algorithms, genetic programming %P 189--195 %T GP fitness functions to evolve heuristics for planning %U http://scalab.uc3m.es/~dborrajo/papers/gecco00.ps.gz %X There are several ways of applying Genetic Programming (GP) to STRIPS-like planning in the literature. In this paper we emphasise the use of a new one, based on learning heuristics for planning. In particular, we focus on the design of fitness functions for this task. We explore two alternatives (black and white box fitness functions) and present some empirical results

@inproceedings{aler:2000:G, abstract = {There are several ways of applying Genetic Programming (GP) to STRIPS-like planning in the literature. In this paper we emphasise the use of a new one, based on learning heuristics for planning. In particular, we focus on the design of fitness functions for this task. We explore two alternatives (black and white box fitness functions) and present some empirical results}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Las Vegas, Nevada, USA}, author = {Aler, Ricardo and Borrajo, Daniel and Isasi, Pedro}, biburl = {https://www.bibsonomy.org/bibtex/29c054ecec884fc9cb848a422a476a882/brazovayeye}, booktitle = {Evolutionary Methods for AI Planning}, editor = {Middendorf, Martin}, interhash = {3dde799ee053423ad912348b1d25f147}, intrahash = {9c054ecec884fc9cb848a422a476a882}, keywords = {algorithms, genetic programming}, month = {8 July}, notes = {GECCO-2000WKS Part of \cite{wu:2000:GECCOWKS}}, pages = {189--195}, size = {5 pages}, timestamp = {2008-06-19T17:35:30.000+0200}, title = {{GP} fitness functions to evolve heuristics for planning}, url = {http://scalab.uc3m.es/~dborrajo/papers/gecco00.ps.gz}, year = 2000 }