Jonathan E. Rowe

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 21

Top Topics

Optimisation Problems

Phase Transition

Theoretical Investigation

Artificial Immune

Top Venues

Theor. Comput. Sci.

GECCO (Companion)

Publications

Jonathan E. Rowe
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation. Genet. Program. Evolvable Mach. 25 (2) (2024)
Jonathan E. Rowe
A Theoretical Investigation of Termination Criteria for Evolutionary Algorithms. EvoStar (2024)
Aishwaryaprajna, Jonathan E. Rowe
The Voting algorithm is robust to various noise models. Theor. Comput. Sci. 957 (2023)
Aishwaryaprajna, Thia Kirubarajan, Ratnasingham Tharmarasa, Jonathan E. Rowe
UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation. Int. J. Bio Inspired Comput. 21 (4) (2023)
Aishwaryaprajna, Jonathan E. Rowe
Evolutionary and Estimation of Distribution Algorithms for Unconstrained, Constrained, and Multiobjective Noisy Combinatorial Optimisation Problems. Evol. Comput. 31 (3) (2023)
Robert Chin, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe
A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning. CoRR (2021)
Aishwaryaprajna, Jonathan E. Rowe
Evolutionary Algorithms for Solving Unconstrained, Constrained and Multi-objective Noisy Combinatorial Optimisation Problems. CoRR (2021)
Robert Chin, Alejandro I. Maass, Nalika Ulapane, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe, Hayato Nakada
Active Learning for Linear Parameter-Varying System Identification. CoRR (2020)
Aishwaryaprajna, Jonathan E. Rowe
Noisy combinatorial optimisation by evolutionary algorithms. GECCO (Companion) (2019)
Jonathan E. Rowe, Aishwaryaprajna
The benefits and limitations of voting mechanisms in evolutionary optimisation. FOGA (2019)
Robert Chin, Jonathan E. Rowe
Re-parametrising Cost Matrices for Tuning Model Predictive Controllers. CEC (2019)
Khulood AlYahya, Jonathan E. Rowe
Landscape Analysis of a Class of NP-Hard Binary Packing Problems. Evol. Comput. 27 (1) (2019)
Chunyan Mu, Peter Dittrich, David Parker, Jonathan E. Rowe
Organisation-Oriented Coarse Graining and Refinement of Stochastic Reaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (4) (2018)
Jonathan E. Rowe
Linear multi-objective drift analysis. Theor. Comput. Sci. 736 (2018)
Nishanthan Kamaleson, David Parker, Jonathan E. Rowe
Finite-Horizon Bisimulation Minimisation for Probabilistic Systems. SPIN (2016)
Chunyan Mu, Peter Dittrich, David Parker, Jonathan E. Rowe
Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory. CMSB (2016)
Khulood AlYahya, Jonathan E. Rowe
Simple Random Sampling Estimation of the Number of Local Optima. PPSN (2016)
Adam Prügel-Bennett, Jonathan E. Rowe, Jonathan Shapiro
Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments. FOGA (2015)
Ayush Joshi, Jonathan E. Rowe, Christine Zarges
Improving the Performance of the Germinal Center Artificial Immune System Using \epsilon -Dominance: A Multi-objective Knapsack Problem Case Study. EvoCOP (2015)
Khulood AlYahya, Jonathan E. Rowe
Landscape Properties of the 0-1 Knapsack Problem. GECCO (Companion) (2015)
Ahmed Younes, Jonathan E. Rowe
A Polynomial Time Bounded-error Quantum Algorithm for Boolean Satisfiability. CoRR (2015)
Jonathan E. Rowe, Dirk Sudholt
The choice of the offspring population size in the (1, λ) evolutionary algorithm. Theor. Comput. Sci. 545 (2014)
Khulood AlYahya, Jonathan E. Rowe
Local Optima and Weight Distribution in the Number Partitioning Problem. PPSN (2014)
Khulood AlYahya, Jonathan E. Rowe
Phase Transition and Landscape Properties of the Number Partitioning Problem. EvoCOP (2014)
Tobias Friedrich, Jonathan E. Rowe
Genetic and Evolutionary Computation. Theor. Comput. Sci. 545 (2014)
Ayush Joshi, Jonathan E. Rowe, Christine Zarges
An Immune-Inspired Algorithm for the Set Cover Problem. PPSN (2014)
Achim Jung, Jonathan E. Rowe
Convergence of preference functions. Theor. Comput. Sci. 488 (2013)
Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning. Nat. Comput. 12 (4) (2013)
Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
Geiringer Theorems: From Population Genetics to Computational Intelligence, Memory Evolutive Systems and Hebbian Learning CoRR (2013)
Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
A version of Geiringer-like theorem for decision making in the environments with randomness and incomplete information. Int. J. Intell. Comput. Cybern. 5 (1) (2012)
Jonathan E. Rowe
Genetic algorithm theory. GECCO (Companion) (2012)
Per Kristian Lehre, Frank Neumann, Jonathan E. Rowe, Xin Yao
Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation". Theor. Comput. Sci. 425 (2012)
Jonathan E. Rowe, Dirk Sudholt
The choice of the offspring population size in the (1, λ) EA. GECCO (2012)
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
Precision, Local Search and Unimodal Functions. Algorithmica 59 (3) (2011)
Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
A Version of Geiringer-like Theorem for Decision Making in the Environments with Randomness and Incomplete Information CoRR (2011)
Jonathan E. Rowe, Michael D. Vose
Unbiased black box search algorithms. GECCO (2011)
Jonathan E. Rowe
Genetic algorithm theory. GECCO (Companion) (2011)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Representation Invariant Genetic Operators. Evol. Comput. 18 (4) (2010)
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
Tight Bounds for Blind Search on the Integers and the Reals. Comb. Probab. Comput. 19 (5-6) (2010)
Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
Theoretical analysis of local search strategies to optimize network communication subject to preserving the total number of links. Int. J. Intell. Comput. Cybern. 2 (2) (2009)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Reinterpreting No Free Lunch. Evol. Comput. 17 (1) (2009)
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
Tight Bounds for Blind Search on the Integers CoRR (2008)
Jonathan E. Rowe
Genetic algorithm theory. GECCO (Companion) (2008)
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
Precision, local search and unimodal functions. GECCO (2008)
Dominique F. Chu, Jonathan E. Rowe
Crossover operators to control size growth in linear GP and variable length GAs. IEEE Congress on Evolutionary Computation (2008)
Boris Mitavskiy, Jonathan E. Rowe, Alden H. Wright, Lothar M. Schmitt
Quotients of Markov chains and asymptotic properties of the stationary distribution of the Markov chain associated to an evolutionary algorithm. Genet. Program. Evolvable Mach. 9 (2) (2008)
Dirk V. Arnold, Anne Auger, Carsten Witt, Jonathan E. Rowe
08051 Abstracts Collection - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms (2008)
L. Darrell Whitley, Jonathan E. Rowe
Focused no free lunch theorems. GECCO (2008)
Dirk V. Arnold, Anne Auger, Jonathan E. Rowe, Carsten Witt
08051 Executive Summary - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms (2008)
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
Tight Bounds for Blind Search on the Integers. STACS (2008)
Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
Preliminary theoretical analysis of a local search algorithm to optimize network communication subject to preserving the total number of links. IEEE Congress on Evolutionary Computation (2008)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Neighborhood Graphs and Symmetric Genetic Operators. FOGA (2007)
Jonathan E. Rowe
Genetic algorithm theory. GECCO (Companion) (2007)
Boris Mitavskiy, Jonathan E. Rowe
Some results about the Markov chains associated to GPs and general EAs. Theor. Comput. Sci. 361 (1) (2006)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Differentiable coarse graining. Theor. Comput. Sci. 361 (1) (2006)
Dirk V. Arnold, Thomas Jansen, Jonathan E. Rowe, Michael D. Vose
06061 Executive Summary -- Theory of Evolutionary Algoritms. Theory of Evolutionary Algorithms (2006)
Boris Mitavskiy, Jonathan E. Rowe
How fast does the stationary distribution of the Markov chain modelling EAs concentrate on the homogeneous populations for small mutation rate?. Theory of Evolutionary Algorithms (2006)
L. Darrell Whitley, Jonathan E. Rowe
Subthreshold-seeking local search. Theor. Comput. Sci. 361 (1) (2006)
Boris Mitavskiy, Jonathan E. Rowe
An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms. Evol. Comput. 14 (1) (2006)
Boris Mitavskiy, Jonathan E. Rowe, Alden H. Wright, Lothar M. Schmitt
Exploiting Quotients of Markov Chains to Derive Properties of the Stationary Distribution of the Markov Chain Associated to an Evolutionary Algorithm. SEAL (2006)
Dirk V. Arnold, Thomas Jansen, Jonathan E. Rowe, Michael D. Vose
06061 Abstracts Collection -- Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms (2006)
Dominique F. Chu, Jonathan E. Rowe
A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. ECAL (2005)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Coarse Graining Selection and Mutation. FOGA (2005)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
State Aggregation and Population Dynamics in Linear Systems. Artif. Life 11 (4) (2005)
Maximino Salazar Lechuga, Jonathan E. Rowe
Particle swarm optimization and fitness sharing to solve multi-objective optimization problems. Congress on Evolutionary Computation (2005)
Boris Mitavskiy, Jonathan E. Rowe
A Schema-Based Version of Geiringer's Theorem for Nonlinear Genetic Programming with Homologous Crossover. FOGA (2005)
L. Darrell Whitley, Jonathan E. Rowe
Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs. FOGA (2005)
Hang Zhang, Jonathan E. Rowe
Best approximations of fitness functions of binary strings. Nat. Comput. 3 (1) (2004)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Structural Search Spaces and Genetic Operators. Evol. Comput. 12 (4) (2004)
Riccardo Poli, Nicholas Freitag McPhee, Jonathan E. Rowe
Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover. Genet. Program. Evolvable Mach. 5 (1) (2004)
Jonathan E. Rowe, Dzena Hidovic
An Evolution Strategy Using a Continuous Version of the Gray-Code Neighbourhood Distribution. GECCO (1) (2004)
Dzena Hidovic, Jonathan E. Rowe
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations. GECCO (2) (2004)
Cheah C. J. Moey, Jonathan E. Rowe
Population aggregation based on fitness. Nat. Comput. 3 (1) (2004)
Dominique F. Chu, Jonathan E. Rowe
Spread of Vector Borne Diseases in a Population with Spatial Structure. PPSN (2004)
Cheah C. J. Moey, Jonathan E. Rowe
A Reduced Markov Model of GAs Without the Exact Transition Matrix. PPSN (2004)
L. Darrell Whitley, Keith Bush, Jonathan E. Rowe
Subthreshold-Seeking Behavior and Robust Local Search. GECCO (2) (2004)
Jonathan E. Rowe, L. Darrell Whitley, Laura Barbulescu, Jean-Paul Watson
Properties of Gray and Binary Representations. Evol. Comput. 12 (1) (2004)
Alden H. Wright, Michael D. Vose, Jonathan E. Rowe
Implicit Parallelism. GECCO (2003)
Andrés Aguilar Contreras, Jonathan E. Rowe, Christopher R. Stephens
Coarse-Graining in Genetic Algorithms: Some Issues and Examples. GECCO (2003)
Jonathan E. Rowe, Rocío Gómez
El Botellón: Modeling the Movement of Crowds in a City. Complex Syst. 14 (4) (2003)
James A. R. Marshall, Jonathan E. Rowe
Viscous Populations and Their Support for Reciprocal Cooperation. Artif. Life 9 (3) (2003)
Riccardo Poli, Christopher R. Stephens, Alden H. Wright, Jonathan E. Rowe
On The Search Biases Of Homologuous Crossover In Linear Genetic Programming And Variable-length Genetic Algorithms. GECCO (2002)
Riccardo Poli, Christopher R. Stephens, Alden H. Wright, Jonathan E. Rowe
A Schema-Theory-Based Extension of Geiringer's Theorem for Linear GP and Varialbe-length GAs under Homologous Crossover. FOGA (2002)
Alden H. Wright, Jonathan E. Rowe, James R. Neil
Analysis of the simple genetic algorithm on the single-peak and double-peak landscapes. IEEE Congress on Evolutionary Computation (2002)
Alden H. Wright, Jonathan E. Rowe, Christopher R. Stephens, Riccardo Poli
Bistability in a Gene Pool GA with Mutation. FOGA (2002)
Riccardo Poli, Jonathan E. Rowe, Christopher R. Stephens, Alden H. Wright
Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover. EuroGP (2002)
Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe
Editorial Introduction. FOGA (2002)
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Group Properties of Crossover and Mutation. Evol. Comput. 10 (2) (2002)
Christopher R. Stephens, Riccardo Poli, Alden H. Wright, Jonathan E. Rowe
Exact Results From A Coarse Grained Formulation Of The Dynamics Of Variable-length Genetic Algorithms. GECCO (2002)
Alden H. Wright, Jonathan E. Rowe, Riccardo Poli, Christopher R. Stephens
A Fixed Point Analysis Of A Gene Pool GA With Mutation. GECCO (2002)
Jonathan E. Rowe
A Normed Space of Genetic Operators with Applications to Scalability Issues. Evol. Comput. 9 (1) (2001)
Nicholas Freitag McPhee, Riccardo Poli, Jonathan E. Rowe
A schema theory analysis of mutation size biases in genetic programming with linear representations. CEC (2001)
Alden H. Wright, Jonathan E. Rowe
Continuous Dynamical System Models of Steady-State Genetic Algorithms. FOGA (2000)
Nick Marvin, Mark Bower, Jonathan E. Rowe
An evolutionary approach to constructing prognostic models. Artif. Intell. Medicine 15 (2) (1999)
Jonathan E. Rowe
Population Fixed-Points for Functions of Unitation. FOGA (1998)