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Robert B. Heckendorn

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2020 – today

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2021
[c34]
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Tami Alghamdi, Robert B. Heckendorn:
An Evolutionary Computation Based Model for Testing Transfer Learning Strategies. CEC 2021: 1380-1389
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Tami Alghamdi, Robert B. Heckendorn, Terence Soule:
Quantifying the Right Combination of Knowledge and Population Diversity for Transferred Populations. CSCI 2021: 127-133
2020
[c32]
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Travis D. DeVault, Robert B. Heckendorn, Terence Soule:
Introducing counterexamples to a robotic agent using clicker training. GECCO Companion 2020: 1546-1553

2010 – 2019

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2018
[c31]
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Hasan M. Jamil, Xin Mou, Robert B. Heckendorn, Clinton L. Jeffery, Frederick T. Sheldon, Cassidy S. Hall, Nina M. Peterson:
Authoring Adaptive Digital Computational Thinking Lessons Using vTutor for Web-Based Learning. ICWL 2018: 125-131
2017
[c30]
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Keith J. Drew, Robert B. Heckendorn, Ahmed Abdel-Rahim, Homaja Pydi Kumar Marisetty, Anton Stalick:
Evolving a real-time evacuation for urban disaster management. GECCO 2017: 1089-1096
2016
[c29]
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Terence Soule, Barrie D. Robison, Robert B. Heckendorn:
Co-evolution of Sensor Morphology and Behavior. GECCO (Companion) 2016: 135-136
[c28]
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Kodi C. A. Cumbo, Samantha Heck, Ian Tanimoto, Travis DeVault, Robert B. Heckendorn, Terence Soule:
Bee-Inspired Landmark Recognition in Robotic Navigation. GECCO (Companion) 2016: 1039-1042
2015
[c27]
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Travis DeVault, Seth Forrest, Ian Tanimoto, Terence Soule, Robert B. Heckendorn:
Learning from Demonstration for Distributed, Encapsulated Evolution of Autonomous Outdoor Robots. GECCO (Companion) 2015: 1381-1382
2012
[c26]
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Michael Solomon, Terence Soule, Robert B. Heckendorn:
A comparison of a communication strategies in cooperative learning. GECCO 2012: 153-160
2011
[c25]
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Terence Soule, Robert B. Heckendorn:
Developmental scalable hierarchies for multi-agent swarms. GECCO (Companion) 2011: 207-208
2010
[c24]
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Terence Soule, Robert B. Heckendorn:
A developmental algorithm for multi-agent swarms with scalable hierarchies. GECCO 2010: 647-648
[c23]
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Terence Soule, Robert B. Heckendorn:
A developmental approach to evolving scalable hierarchies for multi-agent swarms. GECCO (Companion) 2010: 1769-1776

2000 – 2009

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2009
[c22]
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Terence Soule, Robert B. Heckendorn:
Environmental robustness in multi-agent teams. GECCO 2009: 177-184
[c21]
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Joshua Rubini, Robert B. Heckendorn, Terence Soule:
Evolution of team composition in multi-agent systems. GECCO 2009: 1067-1074
[c20]
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Timothy Meekhof, Terence Soule, Robert B. Heckendorn:
Improving Markov chain classification using string transformations and evolutionary search. GECCO 2009: 1259-1266
2008
[j10]
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Shude Zhou, Robert B. Heckendorn, Zengqi Sun:
Detecting the epistatic structure of generalized embedded landscape. Genet. Program. Evolvable Mach. 9(2): 125-155 (2008)
[c19]
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Russell Thomason, Robert B. Heckendorn, Terence Soule:
Training Time and Team Composition Robustness in Evolved Multi-agent Systems. EuroGP 2008: 1-12
2007
[j9]
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Armand Bankhead, Robert B. Heckendorn:
Using evolvable genetic cellular automata to model breast cancer. Genet. Program. Evolvable Mach. 8(4): 381-393 (2007)
[c18]
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Shude Zhou, Zengqi Sun, Robert B. Heckendorn:
Extended probe method for linkage discovery over high-cardinality alphabets. GECCO 2007: 1484-1491
2006
[j8]
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Armand Bankhead, Nancy S. Magnuson, Robert B. Heckendorn:
Gene Knockout Experiments to Quantify a G2/M Genetic Network Simulation for Mammary Cancer Susceptibility. Silico Biol. 6(3): 181-192 (2006)
[c17]
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Timothy Meekhof, Gary W. Daughdrill, Robert B. Heckendorn:
String transformation-based Bayesian classification or proteins. GECCO 2006: 301-302
[c16]
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Shude Zhou, Robert B. Heckendorn, Zengqi Sun:
Generalized Embedded Landscape and Its Decomposed Representation. SEAL 2006: 9-17
2005
[c15]
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Jason Stevens, Robert B. Heckendorn, Terence Soule:
Exploiting disruption aversion to control code bloat. GECCO 2005: 1605-1612
[c14]
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Timothy Meekhof, Robert B. Heckendorn:
Using evolutionary optimization to improve Markov-based classification with limited training data. GECCO 2005: 2211-2212
2004
[j7]
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Robert B. Heckendorn, Alden H. Wright:
Efficient Linkage Discovery by Limited Probing. Evol. Comput. 12(4): 517-545 (2004)
[c13]
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Jian Shen, Robert B. Heckendorn:
Discrete Branch Length Representations for Genetic Algorithms in Phylogenetic Search. EvoWorkshops 2004: 94-103
2003
[j6]
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Kosuke Imamura, Terence Soule, Robert B. Heckendorn, James A. Foster:
Behavioral Diversity and a Probabilistically Optimal GP Ensemble. Genet. Program. Evolvable Mach. 4(3): 235-253 (2003)
[j5]
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L. Darrell Whitley, Robert B. Heckendorn, Soraya Stevens:
Hyperplane ranking, nonlinearity and the simple genetic algorithm. Inf. Sci. 156(3-4): 123-145 (2003)
[c12]
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Robert B. Heckendorn, Alden H. Wright:
Efficient Linkage Discovery by Limited Probing. GECCO 2003: 1003-1014
2002
[j4]
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Robert B. Heckendorn:
Building a Beowulf: Leveraging Research and Department Needs for Student Enrichment via Project Based Learning. Comput. Sci. Educ. 12(4): 255-273 (2002)
[j3]
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Robert B. Heckendorn:
Embedded Landscapes. Evol. Comput. 10(4): 345-369 (2002)
[j2]
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Terence Soule, Robert B. Heckendorn:
An Analysis of the Causes of Code Growth in Genetic Programming. Genet. Program. Evolvable Mach. 3(3): 283-309 (2002)
[c11]
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Kosuke Imamura, Robert B. Heckendorn, Terence Soule, James A. Foster:
N-Version Genetic Programming via Fault Masking. EuroGP 2002: 172-181
[c10]
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Robert B. Heckendorn:
Partitioning, Epistasis, and Uncertainty. FOGA 2002: 27-44
[c9]
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Kosuke Imamura, Robert B. Heckendorn, Terence Soule, James A. Foster:
Abstention Reduces Errors - decision Abstaining N-version Genetic Programming. GECCO 2002: 796-803
2000
[c8]
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Robert B. Heckendorn:
Polynomial Time Summary Statistics for Two general Classes of Functions. GECCO 2000: 919-926

1990 – 1999

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1999
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Robert B. Heckendorn, L. Darrell Whitley:
Predicting Epistasis from Mathematical Models. Evol. Comput. 7(1): 69-101 (1999)
[c7]
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Robert B. Heckendorn, Soraya B. Rana, L. Darrell Whitley:
Polynomial Time Summary Statistics for a Generalization of MAXSAT. GECCO 1999: 281-288
1998
[c6]
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Soraya B. Rana, Robert B. Heckendorn, L. Darrell Whitley:
A Tractable Walsh Analysis of SAT and its Implications for Genetic Algorithms. AAAI/IAAI 1998: 392-397
[c5]
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Robert B. Heckendorn, Soraya B. Rana, L. Darrell Whitley:
Test Function Generators as Embedded Landscapes. FOGA 1998: 183-198
1997
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L. Darrell Whitley, Soraya B. Rana, Robert B. Heckendorn:
Island Model genetic Algorithms and Linearly Separable Problems. Evolutionary Computing, AISB Workshop 1997: 109-125
[c3]
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Robert B. Heckendorn:
Walsh Functions and Predicting Problem Complexity. ICANNGA 1997: 179-182
[c2]
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Robert B. Heckendorn, L. Darrell Whitley:
A Walsh Analysis of NK-Landscapes. ICGA 1997: 41-48
1996
[c1]
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Robert B. Heckendorn, L. Darrell Whitley, Soraya B. Rana:
Nonlinearity, Hyperplane Ranking and the Simple Genetic Algorithm. FOGA 1996: 181-201

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