Network Structure and the Firing Squad Synchronization Problem. - John J. Grefenstette (J. Comput. Syst. Sci., 1983)

Stability in L Systems. - John J. Grefenstette (Theor. Comput. Sci., 1983)

Corrigendum: Stability in L Systems. - John J. Grefenstette (Theor. Comput. Sci., 1984)

Genetic Search with Approximate Function Evaluation. - John J. Grefenstette; J. Michael Fitzpatrick (ICGA, 1985)

Genetic Algorithms for the Traveling Salesman Problem. - John J. Grefenstette; Rajeev Gopal; Brian J. Rosmaita; Dirk Van Gucht (ICGA, 1985)

Multi-Objective Learning via Genetic Algorithms. - J. David Schaffer; John J. Grefenstette (IJCAI, 1985)

Optimization of Control Parameters for Genetic Algorithms. - John J. Grefenstette (IEEE Trans. Syst. Man Cybern., 1986)

Multilevel Credit Assignment in a Genetic Learning System. - John J. Grefenstette (ICGA, 1987)

A Parallel Genetic Algorithm. - Chrisila C. Pettey; Michael R. Leuze; John J. Grefenstette (ICGA, 1987)

Credit Assignment in Genetic Learning Systems. - John J. Grefenstette (AAAI, 1988)

Genetic Algorithms in Noisy Environments. - J. Michael Fitzpatrick; John J. Grefenstette (Mach. Learn., 1988)

Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms. - John J. Grefenstette (Mach. Learn., 1988)

A System for Learning Control Strategies with Genetic Algorithms. - John J. Grefenstette (ICGA, 1989)

How Genetic Algorithms Work: A Critical Look at Implicit Parallelism. - John J. Grefenstette; James E. Baker (ICGA, 1989)

Learning by Analogy in Genetic Classifier Systems. - Hayong Harry Zhou; John J. Grefenstette (ICGA, 1989)

Incremental Learning of Control Strategies with Genetic algorithms. - John J. Grefenstette (ML, 1989)

Conditions for Implicit Parallelism. - John J. Grefenstette (FOGA, 1990)

Explanations of Empirically Derived Reactive Plans. - Diana F. Gordon; John J. Grefenstette (ML, 1990)

Simulation-Assisted Learning by Competition: Effects of Noise Differences Between Training Model and Target Environment. - Connie Loggia Ramsey; John J. Grefenstette; Alan C. Schultz (ML, 1990)

Improving tactical plans with genetic algorithms. - Alan C. Schultz; John J. Grefenstette (TAI, 1990)

Learning Sequential Decision Rules Using Simulation Models and Competition. - John J. Grefenstette; Connie Loggia Ramsey; Alan C. Schultz (Mach. Learn., 1990)

Lamarckian Learning in Multi-Agent Environments. - John J. Grefenstette (ICGA, 1991)

Learning the Persistence of Actions in Reactive Control Rules. - Helen G. Cobb; John J. Grefenstette (ML, 1991)

Learning Decision Strategies with Genetic Algorithms. - John J. Grefenstette (AII, 1992)

Deception Considered Harmful. - John J. Grefenstette (FOGA, 1992)

An Approach to Anytime Learning. - John J. Grefenstette; Connie Loggia Ramsey (ML, 1992)

Genetic Algorithms for Changing Environments. - John J. Grefenstette (PPSN, 1992)

The Evolution of Strategies for Multiagent Environments. - John J. Grefenstette (Adapt. Behav., 1992)

Genetic Algorithms and Machine Learning. - John J. Grefenstette (COLT, 1993)

Genetic Algorithms for Tracking Changing Environments. - Helen G. Cobb; John J. Grefenstette (ICGA, 1993)

Case-Based Initialization of Genetic Algorithms. - Connie Loggia Ramsey; John J. Grefenstette (ICGA, 1993)

Guest Editor's Introduction. - John J. Grefenstette (IEEE Expert, 1993)

Test and Evaluation by Genetic Algorithms. - Alan C. Schultz; John J. Grefenstette; Kenneth A. De Jong (IEEE Expert, 1993)

Predictive Models Using Fitness Distributions of Genetic Operators. - John J. Grefenstette (FOGA, 1994)

A Coevolutionary Approach to Learning Sequential Decision Rules. - Mitchell A. Potter; Kenneth A. De Jong; John J. Grefenstette (ICGA, 1995)

ARIEL: Autonomous Robot for Integrated Exploration and Localization. - Brian Yamauchi; Alan C. Schultz; William Adams; Kevin Graves; John J. Grefenstette; Dennis Perzanowski (AAAI/IAAI, 1997)

Genome Length as an Evolutionary Self-adaptation. - Connie Loggia Ramsey; Kenneth A. De Jong; John J. Grefenstette; Annie S. Wu; Donald S. Burke (PPSN, 1998)

Putting More Genetics into Genetic Algorithms. - Donald S. Burke; Kenneth A. De Jong; John J. Grefenstette; Connie Loggia Ramsey; Annie S. Wu (Evol. Comput., 1998)

Evolvability in dynamic fitness landscapes: a genetic algorithm approach. - John J. Grefenstette (CEC, 1999)

Visual analysis of evolutionary algorithms. - Annie S. Wu; Kenneth A. De Jong; Donald S. Burke; John J. Grefenstette; Connie Loggia Ramsey (CEC, 1999)

Co-evolution of robotic behaviors. - Robert Daley; Alan C. Schultz; John J. Grefenstette (Mobile Robots, 1999)

Evolutionary Algorithms for Reinforcement Learning. - David E. Moriarty; Alan C. Schultz; John J. Grefenstette (J. Artif. Intell. Res., 1999)

Comparing Algorithms for Large-Scale Sequence Analysis. - Hadon Nash; Douglas Blair; John J. Grefenstette (BIBE, 2001)

Inference of large-scale topology of gene regulation networks by neural nets. - Sohyoung Kim; John N. Weinstein; John J. Grefenstette (SMC, 2003)

EST-PAGE - managing and analyzing EST data. - Lakshmi K. Matukumalli; John J. Grefenstette; Tad S. Sonstegard; Curtis P. Van Tassell (Bioinform., 2004)

The emulation of social institutions as a method of coevolution. - Deborah Vakas Duong; John J. Grefenstette (GECCO, 2005)

SISTER: a Symbolic Interactionist Simulation of Trade and Emergent Roles. - Deborah Vakas Duong; John J. Grefenstette (J. Artif. Soc. Soc. Simul., 2005)

Application of machine learning in SNP discovery. - Lakshmi K. Matukumalli; John J. Grefenstette; David L. Hyten; Ik-Young Choi; Perry B. Cregan; Curtis P. Van Tassell (BMC Bioinform., 2006)

SNP-PHAGE - High throughput SNP discovery pipeline. - Lakshmi K. Matukumalli; John J. Grefenstette; David L. Hyten; Ik-Young Choi; Perry B. Cregan; Curtis P. Van Tassell (BMC Bioinform., 2006)

On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance. - Todd A. Gillette; John J. Grefenstette (Neuroinformatics, 2009)

Dynamic Simulation of Community Crime and Crime-Reporting Behavior. - Michael A. Yonas; Jeffrey D. Borrebach; Jessica G. Burke; Shawn T. Brown; Katherine D. Philp; Donald S. Burke; John J. Grefenstette (SBP, 2011)

FRED Navigator: An interactive system for visualizing results from large-scale epidemic simulations. - Jack Paparian; Shawn T. Brown; Donald S. Burke; John J. Grefenstette (eScience, 2012)

Detecting critical slowing down in high-dimensional epidemiological systems. - Tobias S. Brett; Marco Ajelli; Quan-Hui Liu; Mary G. Krauland; John J. Grefenstette; Willem G. van Panhuis; Alessandro Vespignani; John M. Drake; Pejman Rohani (PLoS Comput. Biol., 2020)