Steven Gustafson | |
|
Publications | |
| Edited Books: |
M. Tomassini, P. Collet, M. Ebner, S. Gustafson and A. Ekart. 2006. Proceedings of the 9th European Conference on Genetic Programming, Budapest, Hungary. Springer. (Proceedings) N. Krasnogor, S. Gustafson, D. Pelta and J.L. Verdegay (editors). Systems Self-Assembly: multidisciplinary snapshots" to be published by Elsevier's "Studies in Multidisciplinarity" series.
(Collection)
|
| Book Chapters: |
N. Krasnogor and S. Gustafson. 2004.
Self-Assembling of Local Searchers in Memetic Algorithms.
In, W.E. Hart, N. Krasnogor, J.E. Smith (editors),
Recent Advances in Memetic Algorithms and Related Search Technologies,
Springer Series of Studies in Fuzziness and Soft Computing, Vol. 166,
pp. 229--257. Springer.
|
| Journal Papers: |
S. Gustafson and E.K. Burke. IN PRESS. The Speciating Island Model: An Alternative Parallel Evolutionary Algorithm. Journal of Parallel and Distributed Computing.
S. Gustafson and D.A. Gustafson. 2006. Issues in the scaling of multi-robot
systems for general problem solving. Autonomous Robots, 20(2), 125-136.
W.B. Langdon and S. Gustafson. 2005. Genetic Programming
and Evolvable
Machines: Five years of Reviews. Genetic Programming and Evolvable
Machines, 6(2), 221-228.
S. Gustafson, A. Ekart, E. Burke and G. Kendall. 2004.
Problem Difficulty and Code Growth in Genetic Programming. Genetic
Programming and Evolvable Machines, 5(3), 271-290.
N. Krasnogor and S. Gustafson. 2004. A Study on the use of
``Self-Generation'' in Memetic Algorithms. Journal of Natural Computing,
3(1): 53-76.
E. Burke, S. Gustafson and G. Kendall. 2004. Diversity in Genetic
Programming: An Analysis of Measures and Correlation with Fitness.
IEEE Transactions on Evolutionary Computation, 8(1): 47-62.
|
| Dissertations: |
S. Gustafson. 2004. An Analysis of Diversity in Genetic Programming.
Ph.D. Dissertation, School of Computer Science and Information Technology,
University of Nottingham, Nottingham, U.K.
S. M. Gustafson. Layered learning in genetic programming for a
co-operative robot soccer problem. Master Thesis. Kansas State University.
December, 2000.
|
| Conference Papers: |
L. Vanneschi, S. Gustafson and G. Mauri. 2006. Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics. In Proceedings of the 9th European Conference on Genetic Programming, vol. 3905 of LNCS, pp. 238-249, Budapest, Hungary. Springer.
S. Gustafson, E.K. Burke and N. Krasnogor. 2005. On Improving Genetic Programming for Symbolic Regression. In Proceedings of the Congress on Evolutionary Computation, 8 pages, Edinburgh, UK.
N. Krasnogor and S. Gustafson. 2005. A Family of Conceptual Problems in the Automated Design of Systems Self-Assembly. In Proceedings of the 2nd Annual Foundations of Nanoscience Conference, 5 pages, Utah, USA. Sciencetechnica.
S. Gustafson and E.K. Burke. 2005. A Niche for Parallel Islands Models: Outliers and Local Search. In Proceedings of the 1st Workshop on Parallel BioInspired Algorithms, Oslo, Norway. IEEE Computer Society.
S. Gustafson and L. Vanneschi. 2005. Operator-Based Distance for Genetic Programming: Subtree Crossover Distance. In Proceedings of the 8th European Conference on Genetic Programming, vol. of LNCS, pp, Lausanne, Switzerland. Springer.
S. Gustafson, E.K. Burke and N. Krasnogor. 2005. The Tree-String Problem: An Artificial Domain for Structure and Content Search. In Proceedings of the 8th European Conference on Genetic Programming, vol. of LNCS, pp, Lausanne, Switzerland. Springer.
S. Gustafson and D. Gustafson. Scaling issues with robot search and tagging. In Robosphere 2004: Self-Sustaining
Robotic Systems, NASA Ames Research Center, CA, USA.
S. Gustafson, E. Burke and G. Kendall. 2004. Sampling of Unique
Structures and Behaviours in Genetic Programming. In Proceedings of the
7th European Conference on Genetic Programming, vol. 3003 of LNCS,
pp. 279-288, Coimbra, Portugal, Springer.
A. Ekart and S. Gustafson. 2004. A Data Structure for Improved GP
Analysis via Efficient Computation and Visualisation of Population Measures
In Proceedings of the 7th European Conference on Genetic Programming,
vol. 3003 of LNCS, pp. 35-46, Coimbra, Portugal, Springer.
E. Burke, S. Gustafson, G. Kendall and N. Krasnogor. 2003. Is Increased
Diversity Beneficial in Genetic Programming: An Analysis of the Effects
on Fitness. In Proceedings of the Congress on
Evolutionary Computation, pp. 1398-1405, Australia. IEEE Press.
E. Burke, S. Gustafson, G. Kendall and N. Krasnogor. 2002. Advanced
Population Diversity Measures in Genetic Programming. In Proceedings of
Parallel Problem Solving from Nature Conference, vol. 2439 of LNCS,
pp. 341-350. Granada, Spain. Springer.
E. Burke, S. Gustafson and G. Kendall. 2002. A Survey and Analysis of
Diversity Measures in Genetic Programming. In Genetic and Evolutionary
Computation Conference, pp. 716-723, New York, USA. Morgan Kaufmann
Publishers. (Nominated for Best Paper)**
W. H. Hsu and S. M. Gustafson. 2002. Genetic Programming and Multi-Agent
Layered Learning by Reinforcements. In Genetic and Evolutionary Computation
Conference, pp. 764-771, New York, USA. Morgan Kaufmann Publishers.
(Nominated for Best Paper)**
E. Burke, S. Gustafson and G. Kendall. 2002. A Puzzle to Challenge
Genetic Programming. In Proceedings of the 5th European Conference on Genetic
Programming, vol. 2278 of LNCS, pp. 238-247, Kinsale, Ireland, Springer.
(Voted Best Poster Presentation)
S. M. Gustafson and W. H. Hsu. 2001. Layered learning in genetic
programming for a co-operative robot soccer problem. In
Proceedings of the 4th European Conference on Genetic Programming,
vol. 2038 of LNCS, pp. 291-301, Lake Como, Italy. Springer.
|
| Other Reviewed Publications: |
E. Burke, S. Gustafson and G. Kendall. 2003. Ramped Half-n-Half
Initialisation Bias in GP. In Proceedings of the Genetic and
Evolutionary Computation Conference, vol. 2723 and 2724 of LNCS,
pp. 1800-1801, Chicago, USA. Springer. (Poster)
N. Krasnogor and S. Gustafson. 2003.
The Local Searcher as a Supplier of Building Blocks in
Self-Generating Memetic Algorithms.
In Proceedings of the Bird of a Feather Workshops,
Genetic and Evolutionary Computation Conference, Chicago, USA. (Workshop)
E. Burke, S. Gustafson and G. Kendall. 2002. Is Genetic Programming
a Suitable Research Direction for Timetabling? In Practice
and Theory of Automated Timetabling, Gent, Belgium.
(Abstract)
N. Krasnogor and S. Gustafson. 2002. Towards Truly ``memetic'' Memetic
Algorithms. In the 3rd Workshop on Memetic Algorithms at
the 7th Parallel Problem Solving from Nature Conference, Granada,
Spain. (Workshop)
W. H. Hsu and S. M. Gustafson. 2001. Genetic Programming for
Layered Learning
of Multi-agent Tasks. In Late-Breaking Papers of the Genetic and Evolutionary
Computation Conference, San Francisco, USA. (Late-Breaking Paper)
S. M. Gustafson and W. H. Hsu. 2000. Genetic programming for strategy
learning
in soccer playing agents: A KDD-based architecture. In
the Graduate Student Workshop of the Genetic and Evolutionary
Computation Conference,
Las Vegas, USA. (Workshop)
W. H. Hsu, Y. Cheng, H. Guo, and S. Gustafson. 2000. Genetic
Algorithms for
Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes.
In Proceedings of the Genetic and Evolutionary Computation Conference,
Las Vegas, USA. Morgan Kaufmann Publishers. (Poster)
** 31 of the 160 full papers presented at GECCO 2002 were nominated. |
| Unpublished Papers: |
S. Gustafson and N. Krasnogor. Visualising Populations of Rooted
Labeled Trees on a Lattice. Unpublished. Jan. 2003.
http://www.cs.nott.ac./~smg/ .
|
| Corrections: |
Both the GECCO 2002 and PPSN 2002 papers on genetic programming diversity wrongly cite P. D'haeseleer 1994 paper on context preserving crossover. The correct citation should be the ``Effects of Locality in Individual Population Evolution'' in Advances in Genetic Programming, 1994, edited by K.E Kinnear Jr. The three sets of structure and behaviour sampling figures in ``Sampling of Unique Structures and Behaviours in Genetic Programming'', EuroGP'04, mislabeled the bottom `behaviour' figures as structure. The references in the text do correctly refer to these. |