Creativity: a survey of AI approaches. - Jonathan E. Rowe; Derek Partridge (Artif. Intell. Rev., 1993)

Direct Replacement: A Genetic Algorithm Without Mutation Which Avoids Deception. - Jonathan E. Rowe; Ian Robert East (Evo Workshops, 1994)

Effects of Isolation in a Distributed Population Genetic Algorithm. - Ian Robert East; Jonathan E. Rowe (PPSN, 1996)

Abstract Genetic Representation of Dynamical Neural Networks Using Kauffman Networks. - Ian Robert East; Jonathan E. Rowe (Artif. Life, 1997)

Population Fixed-Points for Functions of Unitation. - Jonathan E. Rowe (FOGA, 1998)

An evolutionary approach to constructing prognostic models. - Nick Marvin; Mark Bower; Jonathan E. Rowe (Artif. Intell. Medicine, 1999)

Continuous Dynamical System Models of Steady-State Genetic Algorithms. - Alden H. Wright; Jonathan E. Rowe (FOGA, 2000)

A schema theory analysis of mutation size biases in genetic programming with linear representations. - Nicholas Freitag McPhee; Riccardo Poli; Jonathan E. Rowe (CEC, 2001)

A Normed Space of Genetic Operators with Applications to Scalability Issues. - Jonathan E. Rowe (Evol. Comput., 2001)

Analysis of the simple genetic algorithm on the single-peak and double-peak landscapes. - Alden H. Wright; Jonathan E. Rowe; James R. Neil (IEEE Congress on Evolutionary Computation, 2002)

Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover. - Riccardo Poli; Jonathan E. Rowe; Christopher R. Stephens; Alden H. Wright (EuroGP, 2002)

Editorial Introduction. - Kenneth A. De Jong; Riccardo Poli; Jonathan E. Rowe (FOGA, 2002)

A Schema-Theory-Based Extension of Geiringer's Theorem for Linear GP and Varialbe-length GAs under Homologous Crossover. - Riccardo Poli; Christopher R. Stephens; Alden H. Wright; Jonathan E. Rowe (FOGA, 2002)

Bistability in a Gene Pool GA with Mutation. - Alden H. Wright; Jonathan E. Rowe; Christopher R. Stephens; Riccardo Poli (FOGA, 2002)

On The Search Biases Of Homologuous Crossover In Linear Genetic Programming And Variable-length Genetic Algorithms. - Riccardo Poli; Christopher R. Stephens; Alden H. Wright; Jonathan E. Rowe (GECCO, 2002)

Exact Results From A Coarse Grained Formulation Of The Dynamics Of Variable-length Genetic Algorithms. - Christopher R. Stephens; Riccardo Poli; Alden H. Wright; Jonathan E. Rowe (GECCO, 2002)

A Fixed Point Analysis Of A Gene Pool GA With Mutation. - Alden H. Wright; Jonathan E. Rowe; Riccardo Poli; Christopher R. Stephens (GECCO, 2002)

Group Properties of Crossover and Mutation. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (Evol. Comput., 2002)

Coarse-Graining in Genetic Algorithms: Some Issues and Examples. - Andrés Aguilar Contreras; Jonathan E. Rowe; Christopher R. Stephens (GECCO, 2003)

Implicit Parallelism. - Alden H. Wright; Michael D. Vose; Jonathan E. Rowe (GECCO, 2003)

Viscous Populations and Their Support for Reciprocal Cooperation. - James A. R. Marshall; Jonathan E. Rowe (Artif. Life, 2003)

El Botellón: Modeling the Movement of Crowds in a City. - Jonathan E. Rowe; Rocío Gómez (Complex Syst., 2003)

Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations. - Dzena Hidovic; Jonathan E. Rowe (GECCO (2), 2004)

An Evolution Strategy Using a Continuous Version of the Gray-Code Neighbourhood Distribution. - Jonathan E. Rowe; Dzena Hidovic (GECCO (1), 2004)

Subthreshold-Seeking Behavior and Robust Local Search. - L. Darrell Whitley; Keith Bush; Jonathan E. Rowe (GECCO (2), 2004)

Spread of Vector Borne Diseases in a Population with Spatial Structure. - Dominique F. Chu; Jonathan E. Rowe (PPSN, 2004)

A Reduced Markov Model of GAs Without the Exact Transition Matrix. - Cheah C. J. Moey; Jonathan E. Rowe (PPSN, 2004)

Structural Search Spaces and Genetic Operators. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (Evol. Comput., 2004)

Properties of Gray and Binary Representations. - Jonathan E. Rowe; L. Darrell Whitley; Laura Barbulescu; Jean-Paul Watson (Evol. Comput., 2004)

Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover. - Riccardo Poli; Nicholas Freitag McPhee; Jonathan E. Rowe (Genet. Program. Evolvable Mach., 2004)

Population aggregation based on fitness. - Cheah C. J. Moey; Jonathan E. Rowe (Nat. Comput., 2004)

Best approximations of fitness functions of binary strings. - Hang Zhang; Jonathan E. Rowe (Nat. Comput., 2004)

Chapter 4 Approaching Perfect Mixing in a Simple Model of the Spread of an Infectious Disease. - Dominique F. Chu; Jonathan E. Rowe (Recent Advances in Artificial Life, 2005)

Particle swarm optimization and fitness sharing to solve multi-objective optimization problems. - Maximino Salazar Lechuga; Jonathan E. Rowe (Congress on Evolutionary Computation, 2005)

A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. - Dominique F. Chu; Jonathan E. Rowe (ECAL, 2005)

A Schema-Based Version of Geiringer's Theorem for Nonlinear Genetic Programming with Homologous Crossover. - Boris Mitavskiy; Jonathan E. Rowe (FOGA, 2005)

Coarse Graining Selection and Mutation. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (FOGA, 2005)

Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs. - L. Darrell Whitley; Jonathan E. Rowe (FOGA, 2005)

State Aggregation and Population Dynamics in Linear Systems. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (Artif. Life, 2005)

06061 Executive Summary – Theory of Evolutionary Algoritms. - Dirk V. Arnold; Thomas Jansen 001; Jonathan E. Rowe; Michael D. Vose (Theory of Evolutionary Algorithms, 2006)

06061 Abstracts Collection – Theory of Evolutionary Algorithms. - Dirk V. Arnold; Thomas Jansen 001; Jonathan E. Rowe; Michael D. Vose (Theory of Evolutionary Algorithms, 2006)

How fast does the stationary distribution of the Markov chain modelling EAs concentrate on the homogeneous populations for small mutation rate?. - Boris Mitavskiy; Jonathan E. Rowe (Theory of Evolutionary Algorithms, 2006)

Exploiting Quotients of Markov Chains to Derive Properties of the Stationary Distribution of the Markov Chain Associated to an Evolutionary Algorithm. - Boris Mitavskiy; Jonathan E. Rowe; Alden H. Wright; Lothar M. Schmitt (SEAL, 2006)

An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms. - Boris Mitavskiy; Jonathan E. Rowe (Evol. Comput., 2006)

Some results about the Markov chains associated to GPs and general EAs. - Boris Mitavskiy; Jonathan E. Rowe (Theor. Comput. Sci., 2006)

Differentiable coarse graining. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (Theor. Comput. Sci., 2006)

Subthreshold-seeking local search. - L. Darrell Whitley; Jonathan E. Rowe (Theor. Comput. Sci., 2006)

On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments. - Ingo Paenke; Bernhard Sendhoff; Jonathan E. Rowe; Chrisantha Fernando (ECAL, 2007)

Neighborhood Graphs and Symmetric Genetic Operators. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (FOGA, 2007)

Hebbian learning in a simple gene circuit. - Chrisantha Thomas Fernando; Jonathan E. Rowe (GECCO, 2007)

Is there a Liquid State Machine in the Bacterium Escherichia Coli? - Ben Jones; Dov J. Stekel; Jonathan E. Rowe; Chrisantha Fernando (ALIFE, 2007)

Crossover operators to control size growth in linear GP and variable length GAs. - Dominique F. Chu; Jonathan E. Rowe (IEEE Congress on Evolutionary Computation, 2008)

Preliminary theoretical analysis of a local search algorithm to optimize network communication subject to preserving the total number of links. - Boris Mitavskiy; Jonathan E. Rowe; Chris Cannings (IEEE Congress on Evolutionary Computation, 2008)

08051 Executive Summary - Theory of Evolutionary Algorithms. - Dirk V. Arnold; Anne Auger; Jonathan E. Rowe; Carsten Witt (Theory of Evolutionary Algorithms, 2008)

08051 Abstracts Collection - Theory of Evolutionary Algorithms. - Dirk V. Arnold; Anne Auger; Carsten Witt; Jonathan E. Rowe (Theory of Evolutionary Algorithms, 2008)

Genetic algorithm theory. - Jonathan E. Rowe (GECCO (Companion), 2008)

Focused no free lunch theorems. - L. Darrell Whitley; Jonathan E. Rowe (GECCO, 2008)

Tight Bounds for Blind Search on the Integers. - Martin Dietzfelbinger; Jonathan E. Rowe; Ingo Wegener; Philipp Woelfel (STACS, 2008)

The origin of autonomous agents by natural selection. - Chrisantha Fernando; Jonathan E. Rowe (Biosyst., 2008)

Quotients of Markov chains and asymptotic properties of the stationary distribution of the Markov chain associated to an evolutionary algorithm. - Boris Mitavskiy; Jonathan E. Rowe; Alden H. Wright; Lothar M. Schmitt (Genet. Program. Evolvable Mach., 2008)

Reinterpreting No Free Lunch. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (Evol. Comput., 2009)

Theoretical analysis of local search strategies to optimize network communication subject to preserving the total number of links. - Boris Mitavskiy; Jonathan E. Rowe; Chris Cannings (Int. J. Intell. Comput. Cybern., 2009)

Tight Bounds for Blind Search on the Integers and the Reals. - Martin Dietzfelbinger; Jonathan E. Rowe; Ingo Wegener; Philipp Woelfel (Comb. Probab. Comput., 2010)

Representation Invariant Genetic Operators. - Jonathan E. Rowe; Michael D. Vose; Alden H. Wright (Evol. Comput., 2010)

A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch. - L. Darrell Whitley; Jonathan E. Rowe (Theory of Randomized Search Heuristics, 2011)

Unbiased black box search algorithms. - Jonathan E. Rowe; Michael D. Vose (GECCO, 2011)

Precision, Local Search and Unimodal Functions. - Martin Dietzfelbinger; Jonathan E. Rowe; Ingo Wegener; Philipp Woelfel (Algorithmica, 2011)

The choice of the offspring population size in the (1, λ) EA. - Jonathan E. Rowe; Dirk Sudholt (GECCO, 2012)

A version of Geiringer-like theorem for decision making in the environments with randomness and incomplete information. - Boris Mitavskiy; Jonathan E. Rowe; Chris Cannings (Int. J. Intell. Comput. Cybern., 2012)

Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation". - Per Kristian Lehre; Frank Neumann 001; Jonathan E. Rowe; Xin Yao 001 (Theor. Comput. Sci., 2012)

Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning. - Boris Mitavskiy; Elio Tuci; Chris Cannings; Jonathan E. Rowe; Jun He 004 (Nat. Comput., 2013)

Convergence of preference functions. - Achim Jung; Jonathan E. Rowe (Theor. Comput. Sci., 2013)

Phase Transition and Landscape Properties of the Number Partitioning Problem. - Khulood AlYahya; Jonathan E. Rowe (EvoCOP, 2014)

Local Optima and Weight Distribution in the Number Partitioning Problem. - Khulood AlYahya; Jonathan E. Rowe (PPSN, 2014)

An Immune-Inspired Algorithm for the Set Cover Problem. - Ayush Joshi; Jonathan E. Rowe; Christine Zarges (PPSN, 2014)

Genetic and Evolutionary Computation. - Tobias Friedrich 001; Jonathan E. Rowe (Theor. Comput. Sci., 2014)

The choice of the offspring population size in the (1, λ) evolutionary algorithm. - Jonathan E. Rowe; Dirk Sudholt (Theor. Comput. Sci., 2014)

Single-Funnel and Multi-funnel Landscapes and Subthreshold-Seeking Behavior. - L. Darrell Whitley; Jonathan E. Rowe (Theory and Principled Methods for the Design of Metaheuristics, 2014)

Improving the Performance of the Germinal Center Artificial Immune System Using epsilon -Dominance: A Multi-objective Knapsack Problem Case Study. - Ayush Joshi; Jonathan E. Rowe; Christine Zarges (EvoCOP, 2015)

Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments. - Adam Prügel-Bennett; Jonathan E. Rowe; Jonathan Shapiro (FOGA, 2015)

Landscape Properties of the 0-1 Knapsack Problem. - Khulood AlYahya; Jonathan E. Rowe (GECCO (Companion), 2015)

A Polynomial Time Bounded-error Quantum Algorithm for Boolean Satisfiability. - Ahmed Younes; Jonathan E. Rowe (CoRR, 2015)

Genetic Algorithms. - Jonathan E. Rowe (Handbook of Computational Intelligence, 2015)

Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory. - Chunyan Mu; Peter Dittrich; David Parker 001; Jonathan E. Rowe (CMSB, 2016)

Simple Random Sampling Estimation of the Number of Local Optima. - Khulood AlYahya; Jonathan E. Rowe (PPSN, 2016)

Finite-Horizon Bisimulation Minimisation for Probabilistic Systems. - Nishanthan Kamaleson; David Parker 001; Jonathan E. Rowe (SPIN, 2016)

Organisation-Oriented Coarse Graining and Refinement of Stochastic Reaction Networks. - Chunyan Mu; Peter Dittrich; David Parker 001; Jonathan E. Rowe (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Linear multi-objective drift analysis. - Jonathan E. Rowe (Theor. Comput. Sci., 2018)

Re-parametrising Cost Matrices for Tuning Model Predictive Controllers. - Robert Chin; Jonathan E. Rowe (CEC, 2019)

The benefits and limitations of voting mechanisms in evolutionary optimisation. - Jonathan E. Rowe; Aishwaryaprajna (FOGA, 2019)

Noisy combinatorial optimisation by evolutionary algorithms. - Aishwaryaprajna; Jonathan E. Rowe (GECCO (Companion), 2019)

Landscape Analysis of a Class of NP-Hard Binary Packing Problems. - Khulood AlYahya; Jonathan E. Rowe (Evol. Comput., 2019)

Active Learning for Linear Parameter-Varying System Identification. - Robert Chin; Alejandro I. Maass; Nalika Ulapane; Chris Manzie; Iman Shames; Dragan Nesic; Jonathan E. Rowe; Hayato Nakada (CoRR, 2020)

A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning. - Robert Chin; Chris Manzie; Iman Shames; Dragan Nesic; Jonathan E. Rowe (CoRR, 2021)

Evolutionary Algorithms for Solving Unconstrained, Constrained and Multi-objective Noisy Combinatorial Optimisation Problems. - Aishwaryaprajna; Jonathan E. Rowe (CoRR, 2021)

The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. - Hector Zenil; Jesper Tegnér; Felipe S. Abrahão; Alexander Lavin; Vipin Kumar 001; Jeremy G. Frey; Adrian Weller; Larisa N. Soldatova; Alan R. Bundy; Nicholas R. Jennings; Koichi Takahashi; Lawrence Hunter; et al. (CoRR, 2023)

Evolutionary and Estimation of Distribution Algorithms for Unconstrained, Constrained, and Multiobjective Noisy Combinatorial Optimisation Problems. - Aishwaryaprajna; Jonathan E. Rowe (Evol. Comput., 2023)

UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation. - Aishwaryaprajna; Thia Kirubarajan; Ratnasingham Tharmarasa; Jonathan E. Rowe (Int. J. Bio Inspired Comput., 2023)

The Voting algorithm is robust to various noise models. - Aishwaryaprajna; Jonathan E. Rowe (Theor. Comput. Sci., 2023)

A Theoretical Investigation of Termination Criteria for Evolutionary Algorithms. - Jonathan E. Rowe (EvoStar, 2024)

Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation. - Jonathan E. Rowe (Genet. Program. Evolvable Mach., 2024)

Evolutionary Anytime Algorithms. - Aishwaryaprajna; Jonathan E. Rowe (EvoCOP@EvoStar, 2025)