2007 |
22 | EE | Abir Alharbi,
William Rand,
Rick L. Riolo:
Understanding the Semantics of the Genetic Algorithm in Dynamic Environments.
EvoWorkshops 2007: 657-667 |
21 | EE | Abir Alharbi,
William Rand,
Rick L. Riolo:
The defined cliffs variant in dynamic environments: a case study using the shaky ladder hyperplane-defined functions.
GECCO 2007: 1158-1164 |
2006 |
20 | EE | William Rand,
Rick L. Riolo:
The Effect of Building Block Construction on the Behavior of the GA in Dynamic Environments: A Case Study Using the Shaky Ladder Hyperplane-Defined Functions.
EvoWorkshops 2006: 776-787 |
19 | EE | William Rand,
Rick L. Riolo,
John H. Holland:
The effect of crossover on the behavior of the GA in dynamic environments: a case study using the shaky ladder hyperplane-defined functions.
GECCO 2006: 1289-1296 |
2005 |
18 | EE | William Rand,
Rick L. Riolo:
Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments.
EvoWorkshops 2005: 600-609 |
17 | EE | William Rand,
Rick L. Riolo:
The problem with a self-adaptative mutation rate in some environments: a case study using the shaky ladder hyperplane-defined functions.
GECCO 2005: 1493-1500 |
16 | EE | William Rand,
Rick L. Riolo:
Measurements for understanding the behavior of the genetic algorithm in dynamic environments: a case study using the Shaky Ladder Hyperplane-Defined Functions.
GECCO Workshops 2005: 32-38 |
15 | EE | Daniel G. Brown,
Scott E. Page,
Rick L. Riolo,
Moira Zellner,
William Rand:
Path dependence and the validation of agent-based spatial models of land use.
International Journal of Geographical Information Science 19(2): 153-174 (2005) |
14 | EE | Daniel G. Brown,
Rick L. Riolo,
Derek T. Robinson,
Michael North,
William Rand:
Spatial process and data models: Toward integration of agent-based models and GIS.
Journal of Geographical Systems 7(1): 25-47 (2005) |
2004 |
13 | EE | Daniel G. Brown,
Scott E. Page,
Rick L. Riolo,
William Rand:
Agent-based and analytical modeling to evaluate the effectiveness of greenbelts.
Environmental Modelling and Software 19(12): 1097-1109 (2004) |
1999 |
12 | EE | John H. Holland,
Lashon B. Booker,
Marco Colombetti,
Marco Dorigo,
David E. Goldberg,
Stephanie Forrest,
Rick L. Riolo,
Robert E. Smith,
Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
What Is a Learning Classifier System?
Learning Classifier Systems 1999: 3-32 |
11 | EE | Pier Luca Lanzi,
Rick L. Riolo:
A Roadmap to the Last Decade of Learning Classifier System Research.
Learning Classifier Systems 1999: 33-62 |
10 | | John R. Koza,
Wolfgang Banzhaf,
Kumar Chellapilla,
Kalyanmoy Deb,
Marco Dorigo,
David B. Fogel,
Max H. Garzon,
David E. Goldberg,
Hitoshi Iba,
Rick L. Riolo:
Genetic Programming 1998: Proceedings of the Third Annual Conference.
IEEE Trans. Evolutionary Computation 3(2): 159-161 (1999) |
1998 |
9 | | H. Van Dyke Parunak,
Robert Savit,
Rick L. Riolo:
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide.
MABS 1998: 10-25 |
1997 |
8 | | Annie S. Wu,
Robert K. Lindsay,
Rick L. Riolo:
Empirical Observations on the Roles of Crossover and Mutation.
ICGA 1997: 362-369 |
7 | | Rick L. Riolo:
The Effects and Evolution of Tag-Mediated Selection of Partners in Populations Playing the Iterated Prisoner's Dilemma.
ICGA 1997: 378-385 |
1991 |
6 | | Rick L. Riolo:
Modeling Simple Human Category Learning with a Classifier System.
ICGA 1991: 324-333 |
1989 |
5 | | Rick L. Riolo:
The Emergence of Coupled Sequences of Classifiers.
ICGA 1989: 256-264 |
4 | | Rick L. Riolo:
The Emergence of Default Hierarchies in Learning Classifier Systems.
ICGA 1989: 322-327 |
1988 |
3 | | George G. Robertson,
Rick L. Riolo:
A Tale of Two Classifier Systems.
Machine Learning 3: 139-159 (1988) |
1987 |
2 | | Rick L. Riolo:
Bucket Brigade Performance: I. Long Sequences of Classifiers.
ICGA 1987: 184-195 |
1 | | Rick L. Riolo:
Bucket Brigade Performance: II. Default Hierarchies.
ICGA 1987: 196-201 |