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2010 – 2019
- 2018
[e5]Rick L. Riolo, Bill Worzel, Brian Goldman, Bill Tozier:
Genetic Programming Theory and Practice XIV, [GPTP 2016, University of Michigan, Ann Arbor, USA, May 19-21, 2016]. Genetic and Evolutionary Computation, Springer 2018, ISBN 978-3-319-97087-5 [contents]- [e4]Wolfgang Banzhaf, Randal S. Olson, William A. Tozier, Rick L. Riolo:
Genetic Programming Theory and Practice XV, [GPTP 2017, University of Michigan, Ann Arbor, USA, May 18-20, 2017]. Genetic and Evolutionary Computation, Springer 2018, ISBN 978-3-319-90511-2 [contents] - 2016
- [e3]Rick L. Riolo, Bill Worzel, Mark E. Kotanchek, Arthur K. Kordon:
Genetic Programming Theory and Practice XIII [GPTP 2015]. Springer 2016, ISBN 978-3-319-34221-4 [contents] - 2015
- [j10]Yong Yang, Amy H. Auchincloss, Daniel A. Rodriguez, Daniel G. Brown, Rick L. Riolo, Ana V. Diez-Roux:
Modeling spatial segregation and travel cost influences on utilitarian walking: Towards policy intervention. Comput. Environ. Urban Syst. 51: 59-69 (2015) - [c18]Johnie Rose
, Laura Homa, Peter Hovmand, Alison Kraus, Kelly Burgess, Anindita Biswas, Heide Aungst, Sarah Cherng, Rick L. Riolo, Kurt C. Stange:
Boundary Objects for Participatory Group Model Building of Agent-Based Models. HICSS 2015: 2950-2959 - [e2]Rick L. Riolo, William P. Worzel, Mark E. Kotanchek:
Genetic Programming Theory and Practice XII, [GPTP 2014, University of Michigan, Ann Arbor, USA, May 8-10, 2014]. Springer 2015, ISBN 978-3-319-16029-0 [contents] - 2014
- [e1]Rick L. Riolo, Jason H. Moore, Mark E. Kotanchek:
Genetic Programming Theory and Practice XI [GPTP 2013, University of Michigan, Ann Arbor, USA, May 9-11, 2013]. Springer 2014, ISBN 978-1-4939-0374-0 [contents] - 2013
- [j9]Derek T. Robinson, Shipeng Sun, Meghan Hutchins, Rick L. Riolo, Daniel G. Brown, Dawn Cassandra Parker, Tatiana Filatova, William S. Currie, Sarah Kiger:
Effects of land markets and land management on ecosystem function: A framework for modelling exurban land-change. Environ. Model. Softw. 45: 129-140 (2013) - 2011
- [j8]Andrea K. Knittel, Rick L. Riolo, Rachel C. Snow:
Development and evaluation of an agent-based model of sexual partnership. Adapt. Behav. 19(6): 425-450 (2011)
2000 – 2009
- 2007
- [c17]Abir Alharbi, William Rand, Rick L. Riolo:
Understanding the Semantics of the Genetic Algorithm in Dynamic Environments. EvoWorkshops 2007: 657-667 - [c16]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
- [j7]Enrique Canessa, Rick L. Riolo:
An agent-based model of the impact of computer-mediated communication on organizational culture and performance: an example of the application of complex systems analysis tools to the study of CIS. J. Inf. Technol. 21(4): 272-283 (2006) - [c15]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 - [c14]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
- [j6]Daniel G. Brown, Scott E. Page, Rick L. Riolo, Moira L. Zellner, William Rand:
Path dependence and the validation of agent-based spatial models of land use. Int. J. Geogr. Inf. Sci. 19(2): 153-174 (2005) - [j5]Daniel G. Brown, Rick L. Riolo, Derek T. Robinson, Michael J. North, William Rand:
Spatial process and data models: Toward integration of agent-based models and GIS. J. Geogr. Syst. 7(1): 25-47 (2005) - [c13]William Rand, Rick L. Riolo:
Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments. EvoWorkshops 2005: 600-609 - [c12]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 - [c11]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 - 2004
- [j4]Daniel G. Brown, Scott E. Page, Rick L. Riolo, William Rand:
Agent-based and analytical modeling to evaluate the effectiveness of greenbelts. Environ. Model. Softw. 19(12): 1097-1109 (2004) - 2003
- [j3]Enrique Canessa, Rick L. Riolo:
The Effect of Organizational Communication Media on Organizational Culture and Performance: An Agent-Based Simulation Model. Comput. Math. Organ. Theory 9(2): 147-176 (2003)
1990 – 1999
- 1999
- [j2]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. Evol. Comput. 3(2): 159-161 (1999) - [c10]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 - [c9]Pier Luca Lanzi, Rick L. Riolo:
A Roadmap to the Last Decade of Learning Classifier System Research. Learning Classifier Systems 1999: 33-62 - 1998
- [c8]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
- [c7]Annie S. Wu, Robert K. Lindsay, Rick L. Riolo:
Empirical Observations on the Roles of Crossover and Mutation. ICGA 1997: 362-369 - [c6]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
- [c5]Rick L. Riolo:
Modeling Simple Human Category Learning with a Classifier System. ICGA 1991: 324-333
1980 – 1989
- 1989
- [c4]Rick L. Riolo:
The Emergence of Coupled Sequences of Classifiers. ICGA 1989: 256-264 - [c3]Rick L. Riolo:
The Emergence of Default Hierarchies in Learning Classifier Systems. ICGA 1989: 322-327 - 1988
- [b1]Rick L. Riolo:
Empirical studies of default hierarchies and sequences of rules in learning classifier systems. University of Michigan, USA, 1988 - [j1]George G. Robertson, Rick L. Riolo:
A Tale of Two Classifier Systems. Mach. Learn. 3: 139-159 (1988) - 1987
- [c2]Rick L. Riolo:
Bucket Brigade Performance: I. Long Sequences of Classifiers. ICGA 1987: 184-195 - [c1]Rick L. Riolo:
Bucket Brigade Performance: II. Default Hierarchies. ICGA 1987: 196-201
Coauthor Index
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