Jonathan E. Rowe

114 papers A 30B 9C 1Journal 46Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The future of fundamental science led by generative closed-loop artificial intelligence. Frontiers Artif. Intell. Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Ross D. King
2025	—	`conf`	Evolutionary Anytime Algorithms. EvoCOP@EvoStar Aishwaryaprajna, Jonathan E. Rowe
2024	—	`conf`	A Theoretical Investigation of Termination Criteria for Evolutionary Algorithms. EvoStar Jonathan E. Rowe
2024	J	`jnl`	Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation. Genet. Program. Evolvable Mach. Jonathan E. Rowe
2023	J	`jnl`	Evolutionary and Estimation of Distribution Algorithms for Unconstrained, Constrained, and Multiobjective Noisy Combinatorial Optimisation Problems. Evol. Comput. Aishwaryaprajna, Jonathan E. Rowe
2023	J	`jnl`	The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
2023	J	`jnl`	The Voting algorithm is robust to various noise models. Theor. Comput. Sci. Aishwaryaprajna, Jonathan E. Rowe
2023	J	`jnl`	UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation. Int. J. Bio Inspired Comput. Aishwaryaprajna, Thia Kirubarajan, Ratnasingham Tharmarasa, Jonathan E. Rowe
2021	J	`jnl`	A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning. CoRR Robert Chin, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe
2021	J	`jnl`	Evolutionary Algorithms for Solving Unconstrained, Constrained and Multi-objective Noisy Combinatorial Optimisation Problems. CoRR Aishwaryaprajna, Jonathan E. Rowe
2020	J	`jnl`	Active Learning for Linear Parameter-Varying System Identification. CoRR Robert Chin, Alejandro I. Maass, Nalika Ulapane, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe, Hayato Nakada
2019	J	`jnl`	Landscape Analysis of a Class of NP-Hard Binary Packing Problems. Evol. Comput. Khulood AlYahya, Jonathan E. Rowe
2019	—	`conf`	Noisy combinatorial optimisation by evolutionary algorithms. GECCO (Companion) Aishwaryaprajna, Jonathan E. Rowe
2019	B	`conf`	Re-parametrising Cost Matrices for Tuning Model Predictive Controllers. CEC Robert Chin, Jonathan E. Rowe
2019	A	`conf`	The benefits and limitations of voting mechanisms in evolutionary optimisation. FOGA Jonathan E. Rowe, Aishwaryaprajna
2018	J	`jnl`	Linear multi-objective drift analysis. Theor. Comput. Sci. Jonathan E. Rowe
2018	J	`jnl`	Organisation-Oriented Coarse Graining and Refinement of Stochastic Reaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Chunyan Mu, Peter Dittrich, David Parker, Jonathan E. Rowe
2016	—	`conf`	Finite-Horizon Bisimulation Minimisation for Probabilistic Systems. SPIN Nishanthan Kamaleson, David Parker, Jonathan E. Rowe
2016	—	`conf`	Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory. CMSB Chunyan Mu, Peter Dittrich, David Parker, Jonathan E. Rowe
2016	A	`conf`	Simple Random Sampling Estimation of the Number of Local Optima. PPSN Khulood AlYahya, Jonathan E. Rowe
2015	J	`jnl`	A Polynomial Time Bounded-error Quantum Algorithm for Boolean Satisfiability. CoRR Ahmed Younes, Jonathan E. Rowe
2015	—	`ch.`	Genetic Algorithms. Handbook of Computational Intelligence Jonathan E. Rowe
2015	B	`conf`	Improving the Performance of the Germinal Center Artificial Immune System Using \epsilon -Dominance: A Multi-objective Knapsack Problem Case Study. EvoCOP Ayush Joshi, Jonathan E. Rowe, Christine Zarges
2015	—	`conf`	Landscape Properties of the 0-1 Knapsack Problem. GECCO (Companion) Khulood AlYahya, Jonathan E. Rowe
2015	A	`conf`	Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments. FOGA Adam Prügel-Bennett, Jonathan E. Rowe, Jonathan Shapiro
2014	A	`conf`	An Immune-Inspired Algorithm for the Set Cover Problem. PPSN Ayush Joshi, Jonathan E. Rowe, Christine Zarges
2014	J	`jnl`	Genetic and Evolutionary Computation. Theor. Comput. Sci. Tobias Friedrich, Jonathan E. Rowe
2014	A	`conf`	Local Optima and Weight Distribution in the Number Partitioning Problem. PPSN Khulood AlYahya, Jonathan E. Rowe
2014	B	`conf`	Phase Transition and Landscape Properties of the Number Partitioning Problem. EvoCOP Khulood AlYahya, Jonathan E. Rowe
2014	—	`ch.`	Single-Funnel and Multi-funnel Landscapes and Subthreshold-Seeking Behavior. Theory and Principled Methods for the Design of Metaheuristics L. Darrell Whitley, Jonathan E. Rowe
2014	J	`jnl`	The choice of the offspring population size in the (1, λ) evolutionary algorithm. Theor. Comput. Sci. Jonathan E. Rowe, Dirk Sudholt
2013	J	`jnl`	Convergence of preference functions. Theor. Comput. Sci. Achim Jung, Jonathan E. Rowe
2013	J	`jnl`	Geiringer Theorems: From Population Genetics to Computational Intelligence, Memory Evolutive Systems and Hebbian Learning CoRR Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
2013	J	`jnl`	Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning. Nat. Comput. Boris Mitavskiy, Elio Tuci, Chris Cannings, Jonathan E. Rowe, Jun He
2012	J	`jnl`	A version of Geiringer-like theorem for decision making in the environments with randomness and incomplete information. Int. J. Intell. Comput. Cybern. Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
2012	J	`jnl`	Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation". Theor. Comput. Sci. Per Kristian Lehre, Frank Neumann, Jonathan E. Rowe, Xin Yao
2012	—	`conf`	Genetic algorithm theory. GECCO (Companion) Jonathan E. Rowe
2012	A	`conf`	The choice of the offspring population size in the (1, λ) EA. GECCO Jonathan E. Rowe, Dirk Sudholt
2011	—	`ch.`	A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch. Theory of Randomized Search Heuristics L. Darrell Whitley, Jonathan E. Rowe
2011	J	`jnl`	A Version of Geiringer-like Theorem for Decision Making in the Environments with Randomness and Incomplete Information CoRR Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
2011	—	`conf`	Genetic algorithm theory. GECCO (Companion) Jonathan E. Rowe
2011	J	`jnl`	Precision, Local Search and Unimodal Functions. Algorithmica Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
2011	A	`conf`	Unbiased black box search algorithms. GECCO Jonathan E. Rowe, Michael D. Vose
2010	J	`jnl`	Representation Invariant Genetic Operators. Evol. Comput. Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2010	J	`jnl`	Tight Bounds for Blind Search on the Integers and the Reals. Comb. Probab. Comput. Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
2009	J	`jnl`	Reinterpreting No Free Lunch. Evol. Comput. Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2009	J	`jnl`	Theoretical analysis of local search strategies to optimize network communication subject to preserving the total number of links. Int. J. Intell. Comput. Cybern. Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
2008	—	`conf`	08051 Abstracts Collection - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms Dirk V. Arnold, Anne Auger, Carsten Witt, Jonathan E. Rowe
2008	—	`conf`	08051 Executive Summary - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms Dirk V. Arnold, Anne Auger, Jonathan E. Rowe, Carsten Witt
2008	B	`conf`	Crossover operators to control size growth in linear GP and variable length GAs. IEEE Congress on Evolutionary Computation Dominique F. Chu, Jonathan E. Rowe
2008	A	`conf`	Focused no free lunch theorems. GECCO L. Darrell Whitley, Jonathan E. Rowe
2008	—	`conf`	Genetic algorithm theory. GECCO (Companion) Jonathan E. Rowe
2008	A	`conf`	Precision, local search and unimodal functions. GECCO Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
2008	B	`conf`	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 Boris Mitavskiy, Jonathan E. Rowe, Chris Cannings
2008	J	`jnl`	Quotients of Markov chains and asymptotic properties of the stationary distribution of the Markov chain associated to an evolutionary algorithm. Genet. Program. Evolvable Mach. Boris Mitavskiy, Jonathan E. Rowe, Alden H. Wright, Lothar M. Schmitt
2008	J	`jnl`	The origin of autonomous agents by natural selection. Biosyst. Chrisantha Fernando, Jonathan E. Rowe
2008	—	`ed.`	Theory of Evolutionary Algorithms, 27.01. - 01.02.2008 Theory of Evolutionary Algorithms Dirk V. Arnold, Anne Auger, Jonathan E. Rowe, Carsten Witt
2008	J	`jnl`	Tight Bounds for Blind Search on the Integers CoRR Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
2008	A	`conf`	Tight Bounds for Blind Search on the Integers. STACS Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel
2007	—	`conf`	Genetic algorithm theory. GECCO (Companion) Jonathan E. Rowe
2007	A	`conf`	Hebbian learning in a simple gene circuit. GECCO Chrisantha Thomas Fernando, Jonathan E. Rowe
2007	C	`conf`	Is there a Liquid State Machine in the Bacterium Escherichia Coli? ALIFE Ben Jones, Dov J. Stekel, Jonathan E. Rowe, Chrisantha Fernando
2007	A	`conf`	Neighborhood Graphs and Symmetric Genetic Operators. FOGA Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2007	—	`conf`	On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments. ECAL Ingo Paenke, Bernhard Sendhoff, Jonathan E. Rowe, Chrisantha Fernando
2006	—	`conf`	06061 Abstracts Collection -- Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms Dirk V. Arnold, Thomas Jansen, Jonathan E. Rowe, Michael D. Vose
2006	—	`conf`	06061 Executive Summary -- Theory of Evolutionary Algoritms. Theory of Evolutionary Algorithms Dirk V. Arnold, Thomas Jansen, Jonathan E. Rowe, Michael D. Vose
2006	J	`jnl`	An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms. Evol. Comput. Boris Mitavskiy, Jonathan E. Rowe
2006	J	`jnl`	Differentiable coarse graining. Theor. Comput. Sci. Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2006	—	`conf`	Exploiting Quotients of Markov Chains to Derive Properties of the Stationary Distribution of the Markov Chain Associated to an Evolutionary Algorithm. SEAL Boris Mitavskiy, Jonathan E. Rowe, Alden H. Wright, Lothar M. Schmitt
2006	—	`conf`	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 Boris Mitavskiy, Jonathan E. Rowe
2006	J	`jnl`	Some results about the Markov chains associated to GPs and general EAs. Theor. Comput. Sci. Boris Mitavskiy, Jonathan E. Rowe
2006	J	`jnl`	Subthreshold-seeking local search. Theor. Comput. Sci. L. Darrell Whitley, Jonathan E. Rowe
2006	—	`ed.`	Theory of Evolutionary Algorithms, 05.02. - 10.02.2006 Theory of Evolutionary Algorithms Dirk V. Arnold, Thomas Jansen, Michael D. Vose, Jonathan E. Rowe
2005	—	`conf`	A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. ECAL Dominique F. Chu, Jonathan E. Rowe
2005	A	`conf`	A Schema-Based Version of Geiringer's Theorem for Nonlinear Genetic Programming with Homologous Crossover. FOGA Boris Mitavskiy, Jonathan E. Rowe
2005	—	`ch.`	Chapter 4 Approaching Perfect Mixing in a Simple Model of the Spread of an Infectious Disease. Recent Advances in Artificial Life Dominique F. Chu, Jonathan E. Rowe
2005	A	`conf`	Coarse Graining Selection and Mutation. FOGA Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2005	A	`conf`	Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs. FOGA L. Darrell Whitley, Jonathan E. Rowe
2005	B	`conf`	Particle swarm optimization and fitness sharing to solve multi-objective optimization problems. Congress on Evolutionary Computation Maximino Salazar Lechuga, Jonathan E. Rowe
2005	J	`jnl`	State Aggregation and Population Dynamics in Linear Systems. Artif. Life Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2004	A	`conf`	A Reduced Markov Model of GAs Without the Exact Transition Matrix. PPSN Cheah C. J. Moey, Jonathan E. Rowe
2004	—	`conf`	An Evolution Strategy Using a Continuous Version of the Gray-Code Neighbourhood Distribution. GECCO (1) Jonathan E. Rowe, Dzena Hidovic
2004	J	`jnl`	Best approximations of fitness functions of binary strings. Nat. Comput. Hang Zhang, Jonathan E. Rowe
2004	J	`jnl`	Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover. Genet. Program. Evolvable Mach. Riccardo Poli, Nicholas Freitag McPhee, Jonathan E. Rowe
2004	A	`ed.`	Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings PPSN Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan Julián Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel
2004	J	`jnl`	Population aggregation based on fitness. Nat. Comput. Cheah C. J. Moey, Jonathan E. Rowe
2004	J	`jnl`	Properties of Gray and Binary Representations. Evol. Comput. Jonathan E. Rowe, L. Darrell Whitley, Laura Barbulescu, Jean-Paul Watson
2004	A	`conf`	Spread of Vector Borne Diseases in a Population with Spatial Structure. PPSN Dominique F. Chu, Jonathan E. Rowe
2004	J	`jnl`	Structural Search Spaces and Genetic Operators. Evol. Comput. Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2004	—	`conf`	Subthreshold-Seeking Behavior and Robust Local Search. GECCO (2) L. Darrell Whitley, Keith Bush, Jonathan E. Rowe
2004	—	`conf`	Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations. GECCO (2) Dzena Hidovic, Jonathan E. Rowe
2003	A	`conf`	Coarse-Graining in Genetic Algorithms: Some Issues and Examples. GECCO Andrés Aguilar Contreras, Jonathan E. Rowe, Christopher R. Stephens
2003	J	`jnl`	El Botellón: Modeling the Movement of Crowds in a City. Complex Syst. Jonathan E. Rowe, Rocío Gómez
2003	A	`conf`	Implicit Parallelism. GECCO Alden H. Wright, Michael D. Vose, Jonathan E. Rowe
2003	A	`ed.`	Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, Torremolinos, Spain, September 2-4, 2002 FOGA Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe
2003	J	`jnl`	Viscous Populations and Their Support for Reciprocal Cooperation. Artif. Life James A. R. Marshall, Jonathan E. Rowe
2002	A	`conf`	A Fixed Point Analysis Of A Gene Pool GA With Mutation. GECCO Alden H. Wright, Jonathan E. Rowe, Riccardo Poli, Christopher R. Stephens
2002	A	`conf`	A Schema-Theory-Based Extension of Geiringer's Theorem for Linear GP and Varialbe-length GAs under Homologous Crossover. FOGA Riccardo Poli, Christopher R. Stephens, Alden H. Wright, Jonathan E. Rowe
2002	B	`conf`	Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover. EuroGP Riccardo Poli, Jonathan E. Rowe, Christopher R. Stephens, Alden H. Wright
2002	B	`conf`	Analysis of the simple genetic algorithm on the single-peak and double-peak landscapes. IEEE Congress on Evolutionary Computation Alden H. Wright, Jonathan E. Rowe, James R. Neil
2002	A	`conf`	Bistability in a Gene Pool GA with Mutation. FOGA Alden H. Wright, Jonathan E. Rowe, Christopher R. Stephens, Riccardo Poli
2002	A	`conf`	Editorial Introduction. FOGA Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe
2002	A	`conf`	Exact Results From A Coarse Grained Formulation Of The Dynamics Of Variable-length Genetic Algorithms. GECCO Christopher R. Stephens, Riccardo Poli, Alden H. Wright, Jonathan E. Rowe
2002	J	`jnl`	Group Properties of Crossover and Mutation. Evol. Comput. Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
2002	A	`conf`	On The Search Biases Of Homologuous Crossover In Linear Genetic Programming And Variable-length Genetic Algorithms. GECCO Riccardo Poli, Christopher R. Stephens, Alden H. Wright, Jonathan E. Rowe
2001	J	`jnl`	A Normed Space of Genetic Operators with Applications to Scalability Issues. Evol. Comput. Jonathan E. Rowe
2001	B	`conf`	A schema theory analysis of mutation size biases in genetic programming with linear representations. CEC Nicholas Freitag McPhee, Riccardo Poli, Jonathan E. Rowe
2000	A	`conf`	Continuous Dynamical System Models of Steady-State Genetic Algorithms. FOGA Alden H. Wright, Jonathan E. Rowe
1999	J	`jnl`	An evolutionary approach to constructing prognostic models. Artif. Intell. Medicine Nick Marvin, Mark Bower, Jonathan E. Rowe
1998	A	`conf`	Population Fixed-Points for Functions of Unitation. FOGA Jonathan E. Rowe
1997	J	`jnl`	Abstract Genetic Representation of Dynamical Neural Networks Using Kauffman Networks. Artif. Life Ian Robert East, Jonathan E. Rowe
1996	A	`conf`	Effects of Isolation in a Distributed Population Genetic Algorithm. PPSN Ian Robert East, Jonathan E. Rowe
1994	—	`conf`	Direct Replacement: A Genetic Algorithm Without Mutation Which Avoids Deception. Evo Workshops Jonathan E. Rowe, Ian Robert East
1993	J	`jnl`	Creativity: a survey of AI approaches. Artif. Intell. Rev. Jonathan E. Rowe, Derek Partridge