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Jonathan E. Rowe
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- affiliation: University of Birmingham, United Kingdom
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2020 – today
- 2024
- [j35]Jonathan E. Rowe:
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation. Genet. Program. Evolvable Mach. 25(2): 15 (2024) - [c52]Jonathan E. Rowe:
A Theoretical Investigation of Termination Criteria for Evolutionary Algorithms. EvoStar 2024: 162-176 - 2023
- [j34]Aishwaryaprajna
, Jonathan E. Rowe:
Evolutionary and Estimation of Distribution Algorithms for Unconstrained, Constrained, and Multiobjective Noisy Combinatorial Optimisation Problems. Evol. Comput. 31(3): 259-285 (2023) - [j33]Aishwaryaprajna
UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation. Int. J. Bio Inspired Comput. 21(4): 209-217 (2023) - [j32]Aishwaryaprajna
The Voting algorithm is robust to various noise models. Theor. Comput. Sci. 957: 113844 (2023) - 2021
- [i12]Robert Chin, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe:
A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning. CoRR abs/2102.09738 (2021) - [i11]Aishwaryaprajna, Jonathan E. Rowe:
Evolutionary Algorithms for Solving Unconstrained, Constrained and Multi-objective Noisy Combinatorial Optimisation Problems. CoRR abs/2110.02288 (2021) - 2020
- [i10]Robert Chin, Alejandro I. Maass, Nalika Ulapane
Active Learning for Linear Parameter-Varying System Identification. CoRR abs/2005.00711 (2020)
2010 – 2019
- 2019
- [j31]Khulood AlYahya, Jonathan E. Rowe:
Landscape Analysis of a Class of NP-Hard Binary Packing Problems. Evol. Comput. 27(1): 47-73 (2019) - [c51]Robert Chin, Jonathan E. Rowe:
Re-parametrising Cost Matrices for Tuning Model Predictive Controllers. CEC 2019: 2856-2863 - [c50]Jonathan E. Rowe, Aishwaryaprajna
The benefits and limitations of voting mechanisms in evolutionary optimisation. FOGA 2019: 34-42 - [c49]Aishwaryaprajna
Noisy combinatorial optimisation by evolutionary algorithms. GECCO (Companion) 2019: 139-140 - 2018
- [j30]Chunyan Mu
Organisation-Oriented Coarse Graining and Refinement of Stochastic Reaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1152-1166 (2018) - [j29]Jonathan E. Rowe:
Linear multi-objective drift analysis. Theor. Comput. Sci. 736: 25-40 (2018) - 2016
- [c48]Chunyan Mu, Peter Dittrich, David Parker
Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory. CMSB 2016: 232-251 - [c47]Khulood AlYahya, Jonathan E. Rowe:
Simple Random Sampling Estimation of the Number of Local Optima. PPSN 2016: 932-941 - [c46]Nishanthan Kamaleson, David Parker, Jonathan E. Rowe:
Finite-Horizon Bisimulation Minimisation for Probabilistic Systems. SPIN 2016: 147-164 - 2015
- [c45]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: 114-125 - [c44]Adam Prügel-Bennett, Jonathan E. Rowe, Jonathan Shapiro:
Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments. FOGA 2015: 69-75 - [c43]Khulood AlYahya, Jonathan E. Rowe:
Landscape Properties of the 0-1 Knapsack Problem. GECCO (Companion) 2015: 1343-1344 - [p4]Jonathan E. Rowe:
Genetic Algorithms. Handbook of Computational Intelligence 2015: 825-844 - [i9]Ahmed Younes, Jonathan E. Rowe:
A Polynomial Time Bounded-error Quantum Algorithm for Boolean Satisfiability. CoRR abs/1507.05061 (2015) - 2014
- [j28]Tobias Friedrich, Jonathan E. Rowe:
Genetic and Evolutionary Computation. Theor. Comput. Sci. 545: 1 (2014) - [j27]Jonathan E. Rowe, Dirk Sudholt:
The choice of the offspring population size in the (1, λ) evolutionary algorithm. Theor. Comput. Sci. 545: 20-38 (2014) - [c42]Khulood AlYahya, Jonathan E. Rowe:
Phase Transition and Landscape Properties of the Number Partitioning Problem. EvoCOP 2014: 206-217 - [c41]Ayush Joshi, Jonathan E. Rowe, Christine Zarges
An Immune-Inspired Algorithm for the Set Cover Problem. PPSN 2014: 243-251 - [c40]Khulood AlYahya, Jonathan E. Rowe:
Local Optima and Weight Distribution in the Number Partitioning Problem. PPSN 2014: 862-871 - [p3]L. Darrell Whitley, Jonathan E. Rowe:
Single-Funnel and Multi-funnel Landscapes and Subthreshold-Seeking Behavior. Theory and Principled Methods for the Design of Metaheuristics 2014: 63-84 - 2013
- [j26]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): 473-484 (2013) - [j25]Achim Jung, Jonathan E. Rowe:
Convergence of preference functions. Theor. Comput. Sci. 488: 66-77 (2013) - [i8]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 abs/1305.2504 (2013) - 2012
- [j24]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): 36-90 (2012) - [j23]Per Kristian Lehre
Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation". Theor. Comput. Sci. 425: 2-3 (2012) - [c39]Jonathan E. Rowe:
Genetic algorithm theory. GECCO (Companion) 2012: 917-940 - [c38]Jonathan E. Rowe, Dirk Sudholt:
The choice of the offspring population size in the (1, λ) EA. GECCO 2012: 1349-1356 - 2011
- [j22]Martin Dietzfelbinger
Precision, Local Search and Unimodal Functions. Algorithmica 59(3): 301-322 (2011) - [c37]Jonathan E. Rowe:
Genetic algorithm theory. GECCO (Companion) 2011: 1029-1052 - [c36]Jonathan E. Rowe, Michael D. Vose:
Unbiased black box search algorithms. GECCO 2011: 2035-2042 - [p2]L. Darrell Whitley, Jonathan E. Rowe:
A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch. Theory of Randomized Search Heuristics 2011: 255-287 - [i7]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 abs/1110.4657 (2011) - 2010
- [j21]Martin Dietzfelbinger
Tight Bounds for Blind Search on the Integers and the Reals. Comb. Probab. Comput. 19(5-6): 711-728 (2010) - [j20]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
Representation Invariant Genetic Operators. Evol. Comput. 18(4): 635-660 (2010)
2000 – 2009
- 2009
- [j19]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
Reinterpreting No Free Lunch. Evol. Comput. 17(1): 117-129 (2009) - [j18]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): 243-284 (2009) - 2008
- [j17]Chrisantha Fernando, Jonathan E. Rowe:
The origin of autonomous agents by natural selection. Biosyst. 91(2): 355-373 (2008) - [j16]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): 109-123 (2008) - [c35]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: 336-343 - [c34]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: 1484-1491 - [c33]Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel:
Precision, local search and unimodal functions. GECCO 2008: 771-778 - [c32]L. Darrell Whitley, Jonathan E. Rowe:
Focused no free lunch theorems. GECCO 2008: 811-818 - [c31]Jonathan E. Rowe:
Genetic algorithm theory. GECCO (Companion) 2008: 2535-2558 - [c30]Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel:
Tight Bounds for Blind Search on the Integers. STACS 2008: 241-252 - [e4]Dirk V. Arnold, Anne Auger, Jonathan E. Rowe, Carsten Witt:
Theory of Evolutionary Algorithms, 27.01. - 01.02.2008. Dagstuhl Seminar Proceedings 08051, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2008 [contents] - [i6]Dirk V. Arnold, Anne Auger, Jonathan E. Rowe, Carsten Witt:
08051 Executive Summary - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms 2008 - [i5]Dirk V. Arnold, Anne Auger, Carsten Witt, Jonathan E. Rowe:
08051 Abstracts Collection - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms 2008 - [i4]Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel:
Tight Bounds for Blind Search on the Integers. CoRR abs/0802.2852 (2008) - 2007
- [c29]Ingo Paenke, Bernhard Sendhoff, Jonathan E. Rowe, Chrisantha Fernando:
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments. ECAL 2007: 355-364 - [c28]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
Neighborhood Graphs and Symmetric Genetic Operators. FOGA 2007: 110-122 - [c27]Chrisantha Thomas Fernando, Jonathan E. Rowe:
Hebbian learning in a simple gene circuit. GECCO 2007: 426 - [c26]Jonathan E. Rowe:
Genetic algorithm theory. GECCO (Companion) 2007: 3585-3608 - [c25]Ben Jones, Dov J. Stekel
Is there a Liquid State Machine in the Bacterium Escherichia Coli? ALIFE 2007: 187-191 - 2006
- [j15]Boris Mitavskiy, Jonathan E. Rowe:
An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms. Evol. Comput. 14(1): 87-118 (2006) - [j14]L. Darrell Whitley, Jonathan E. Rowe:
Subthreshold-seeking local search. Theor. Comput. Sci. 361(1): 2-17 (2006) - [j13]Boris Mitavskiy, Jonathan E. Rowe:
Some results about the Markov chains associated to GPs and general EAs. Theor. Comput. Sci. 361(1): 72-110 (2006) - [j12]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
Differentiable coarse graining. Theor. Comput. Sci. 361(1): 111-129 (2006) - [c24]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: 726-733 - [e3]Dirk V. Arnold, Thomas Jansen, Michael D. Vose, Jonathan E. Rowe:
Theory of Evolutionary Algorithms, 05.02. - 10.02.2006. Dagstuhl Seminar Proceedings 06061, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2006 [contents] - [i3]Dirk V. Arnold, Thomas Jansen, Jonathan E. Rowe, Michael D. Vose:
06061 Executive Summary -- Theory of Evolutionary Algoritms. Theory of Evolutionary Algorithms 2006 - [i2]Dirk V. Arnold, Thomas Jansen, Jonathan E. Rowe, Michael D. Vose:
06061 Abstracts Collection -- Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms 2006 - [i1]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 - 2005
- [j11]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
State Aggregation and Population Dynamics in Linear Systems. Artif. Life 11(4): 473-492 (2005) - [c23]Maximino Salazar Lechuga, Jonathan E. Rowe:
Particle swarm optimization and fitness sharing to solve multi-objective optimization problems. Congress on Evolutionary Computation 2005: 1204-1211 - [c22]Dominique F. Chu, Jonathan E. Rowe:
A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. ECAL 2005: 845-853 - [c21]L. Darrell Whitley, Jonathan E. Rowe:
Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs. FOGA 2005: 21-36 - [c20]Boris Mitavskiy, Jonathan E. Rowe:
A Schema-Based Version of Geiringer's Theorem for Nonlinear Genetic Programming with Homologous Crossover. FOGA 2005: 156-175 - [c19]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
Coarse Graining Selection and Mutation. FOGA 2005: 176-191 - [p1]Dominique F. Chu, Jonathan E. Rowe:
Chapter 4 Approaching Perfect Mixing in a Simple Model of the Spread of an Infectious Disease. Recent Advances in Artificial Life 2005 - 2004
- [j10]Jonathan E. Rowe, L. Darrell Whitley, Laura Barbulescu, Jean-Paul Watson:
Properties of Gray and Binary Representations. Evol. Comput. 12(1): 46-76 (2004) - [j9]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
Structural Search Spaces and Genetic Operators. Evol. Comput. 12(4): 461-493 (2004) - [j8]Riccardo Poli
Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover. Genet. Program. Evolvable Mach. 5(1): 31-70 (2004) - [j7]Cheah C. J. Moey, Jonathan E. Rowe:
Population aggregation based on fitness. Nat. Comput. 3(1): 5-19 (2004) - [j6]Hang Zhang, Jonathan E. Rowe:
Best approximations of fitness functions of binary strings. Nat. Comput. 3(1): 113-124 (2004) - [c18]L. Darrell Whitley, Keith Bush, Jonathan E. Rowe:
Subthreshold-Seeking Behavior and Robust Local Search. GECCO (2) 2004: 282-293 - [c17]Jonathan E. Rowe, Dzena Hidovic:
An Evolution Strategy Using a Continuous Version of the Gray-Code Neighbourhood Distribution. GECCO (1) 2004: 725-736 - [c16]Dzena Hidovic, Jonathan E. Rowe:
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations. GECCO (2) 2004: 1005-1016 - [c15]Cheah C. J. Moey, Jonathan E. Rowe:
A Reduced Markov Model of GAs Without the Exact Transition Matrix. PPSN 2004: 72-80 - [c14]Dominique F. Chu, Jonathan E. Rowe:
Spread of Vector Borne Diseases in a Population with Spatial Structure. PPSN 2004: 222-231 - [e2]Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan Julián Merelo Guervós
Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242, Springer 2004, ISBN 3-540-23092-0 [contents] - 2003
- [j5]James A. R. Marshall, Jonathan E. Rowe:
Viscous Populations and Their Support for Reciprocal Cooperation. Artif. Life 9(3): 327-334 (2003) - [j4]Jonathan E. Rowe, Rocío Gómez:
El Botellón: Modeling the Movement of Crowds in a City. Complex Syst. 14(4) (2003) - [c13]Andrés Aguilar Contreras, Jonathan E. Rowe, Christopher R. Stephens:
Coarse-Graining in Genetic Algorithms: Some Issues and Examples. GECCO 2003: 874-885 - [c12]Alden H. Wright, Michael D. Vose, Jonathan E. Rowe:
Implicit Parallelism. GECCO 2003: 1505-1517 - [e1]Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe:
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, Torremolinos, Spain, September 2-4, 2002. Morgan Kaufmann 2003, ISBN 0122081552 [contents] - 2002
- [j3]Jonathan E. Rowe, Michael D. Vose, Alden H. Wright:
Group Properties of Crossover and Mutation. Evol. Comput. 10(2): 151-184 (2002) - [c11]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: 214-219 - [c10]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: 212-227 - [c9]Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe:
Editorial Introduction. FOGA 2002: 1-8 - [c8]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: 45-62 - [c7]Alden H. Wright, Jonathan E. Rowe, Christopher R. Stephens, Riccardo Poli:
Bistability in a Gene Pool GA with Mutation. FOGA 2002: 63-80 - [c6]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: 578-585 - [c5]Alden H. Wright, Jonathan E. Rowe, Riccardo Poli, Christopher R. Stephens:
A Fixed Point Analysis Of A Gene Pool GA With Mutation. GECCO 2002: 642-649 - [c4]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: 868-876 - 2001
- [j2]Jonathan E. Rowe:
A Normed Space of Genetic Operators with Applications to Scalability Issues. Evol. Comput. 9(1): 25-42 (2001) - [c3]Nicholas Freitag McPhee, Riccardo Poli, Jonathan E. Rowe:
A schema theory analysis of mutation size biases in genetic programming with linear representations. CEC 2001: 1078-1085 - 2000
- [c2]Alden H. Wright, Jonathan E. Rowe:
Continuous Dynamical System Models of Steady-State Genetic Algorithms. FOGA 2000: 209-225
1990 – 1999
- 1999
- [j1]Nick Marvin, Mark Bower
An evolutionary approach to constructing prognostic models. Artif. Intell. Medicine 15(2): 155-165 (1999) - 1998
- [c1]Jonathan E. Rowe:
Population Fixed-Points for Functions of Unitation. FOGA 1998: 69-84
Coauthor Index
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