Ternary Decision Diagram Optimisation of Reed-Muller Logic Functions using a Genetic Algorithm for Variable and Simplification Rule Ordering. - Julian F. Miller; Peter Thomson; P. V. G. Bradbeer (Evolutionary Computing, AISB Workshop, 1995)

Restricted Evaluation Genetic Algorithms with Tabu Search for Optimising Boolean Functions as Multi-Level AND-EXOR Networks. - Julian F. Miller; Peter Thompson (Evolutionary Computing, AISB Workshop, 1996)

Some Aspects of an Evolvable Hardware Approach for Multiple-Valued Combinational Circuit Design. - Tatiana Kalganova; Julian F. Miller; Terence C. Fogarty (ICES, 1998)

Aspects of Digital Evolution: Geometry and Learning. - Julian F. Miller; Peter Thomson (ICES, 1998)

Aspects of Digital Evolution: Evolvability and Architecture. - Julian F. Miller; Peter Thomson (PPSN, 1998)

Digital circuit evolution and fitness landscapes. - Vesselin K. Vassilev; Julian F. Miller; Terry C. Fogarty (CEC, 1999)

The Evolution of Computation in Co-evolving Demes of Non-uniform Cellular Automata for Global Synchronisation. - Vesselin K. Vassilev; Julian F. Miller; Terence C. Fogarty (ECAL, 1999)

Evolving More Efficient Digital Circuits by Allowing Circuit Layout Evolution and Multi-Objective Fitness. - Tatiana Kalganova; Julian F. Miller (Evolvable Hardware, 1999)

On the Filtering Properties of Evolved Gate Arrays. - Julian F. Miller (Evolvable Hardware, 1999)

On the Nature of Two-Bit Multiplier Landscapes. - Vesselin K. Vassilev; Julian F. Miller; Terence C. Fogarty (Evolvable Hardware, 1999)

Co-Evolving Demes of Non-Uniform Cellular Automata for Synchronisation. - Vesselin K. Vassilev; Julian F. Miller; Terence C. Fogarty (Evolvable Hardware, 1999)

Evolution of Digital Filters Using a Gate Array Model. - Julian F. Miller (EvoWorkshops, 1999)

Hybrid AI Techniques for Automated Software Reuse. - Dominic Job; V. Shankararaman; Julian F. Miller (ICCBR Workshops, 1999)

Towards the Automatic Design of More Efficient Digital Circuits. - Vesselin K. Vassilev; Dominic Job; Julian F. Miller (Evolvable Hardware, 2000)

Scalability Problems of Digital Circuit Evolution: Evolvability and Efficient Designs. - Vesselin K. Vassilev; Julian F. Miller (Evolvable Hardware, 2000)

Cartesian Genetic Programming. - Julian F. Miller; Peter Thomson (EuroGP, 2000)

Embedding Landscape Neutrality to Build a Bridge from the Conventional to a More Efficient Three-bit Multiplier Circuit. - Vesselin K. Vassilev; Julian F. Miller (GECCO, 2000)

The Advantages of Landscape Neutrality in Digital Circuit Evolution. - Vesselin K. Vassilev; Julian F. Miller (ICES, 2000)

Information Characteristics and the Structure of Landscapes. - Vesselin K. Vassilev; Terence C. Fogarty; Julian F. Miller (Evol. Comput., 2000)

Review: First NASA/DOD Workshop on Evolvable Hardware 1999. - Julian F. Miller (Genet. Program. Evolvable Mach., 2000)

Principles in the Evolutionary Design of Digital Circuits - Part I. - Julian F. Miller; Dominic Job; Vesselin K. Vassilev (Genet. Program. Evolvable Mach., 2000)

Principles in the Evolutionary Design of Digital Circuits - Part II. - Julian F. Miller; Dominic Job; Vesselin K. Vassilev (Genet. Program. Evolvable Mach., 2000)

Evolving Messy Gates For Fault Tolerance: Some Preliminary Findings. - Julian F. Miller; Morten Hartmann (Evolvable Hardware, 2001)

Neutrality and the Evolvability of Boolean Function Landscape. - Tina Yu; Julian F. Miller (EuroGP, 2001)

Untidy Evolution: Evolving Messy Gates for Fault Tolerance. - Julian F. Miller; Morten Hartmann (ICES, 2001)

Evolution in materio: Looking Beyond the Silicon Box. - Julian F. Miller; Keith L. Downing (Evolvable Hardware, 2002)

Finding Needles in Haystacks Is Not Hard with Neutrality. - Tina Yu; Julian F. Miller (EuroGP, 2002)

Evolving Fault Tolerance On An Unreliable Technology Platform. - Morten Hartmann; Frode Eskelund; Pauline C. Haddow; Julian F. Miller (GECCO, 2002)

Studying the Emergence of Multicellularity with Cartesian Genetic Programming in Artificial Life. - Joseph A. Rothermich; Julian F. Miller (GECCO Late Breaking Papers, 2002)

Climbing Unimodal Landscapes With Neutrality: A Case Study Of The One-max Problem. - Tina Yu; Julian F. Miller (GECCO, 2002)

The Role of Neutral and Adaptive Mutation in an Evolutionary Search on the OneMax Problem. - Tina Yu; Julian F. Miller (GECCO Late Breaking Papers, 2002)

Adaptivity in cell based optimization for information ecosystems. - Joseph A. Rothermich; Fang Wang 010; Julian Francis Miller (IEEE Congress on Evolutionary Computation, 2003)

Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair. - Julian F. Miller (ECAL, 2003)

A Scalable Platform for Intrinsic Hardware and in materio Ev olution. - Simon Harding; Julian F. Miller (Evolvable Hardware, 2003)

A Developmental Method for Growing Graphs and Circuits. - Julian F. Miller; Peter Thomson (ICES, 2003)

Evolution in materio: a tone discriminator in liquid crystal. - Simon Harding; Julian F. Miller (IEEE Congress on Evolutionary Computation, 2004)

Evolution in Materio: Initial Experiments with Liquid Crystal. - Simon Harding; Julian Francis Miller (Evolvable Hardware, 2004)

Evolution and Acquisition of Modules in Cartesian Genetic Programming. - James Alfred Walker; Julian Francis Miller (EuroGP, 2004)

Evolving a Self-Repairing, Self-Regulating, French Flag Organism. - Julian Francis Miller (GECCO (1), 2004)

Special issue on hardware implementations of soft computing techniques. - Davide Anguita; Iluminada Baturone; Julian Francis Miller (Appl. Soft Comput., 2004)

Evolution In Materio : A Real-Time Robot Controller in Liquid Crystal. - Simon Harding; Julian F. Miller (Evolvable Hardware, 2005)

Intrinsic Evolvable Hardware Implementation of a Robust Biological Development Model for Digital Systems. - Heng Liu 006; Julian F. Miller; Andy M. Tyrrell (Evolvable Hardware, 2005)

Evolution of Robot Controller Using Cartesian Genetic Programming. - Simon Harding; Julian F. Miller (EuroGP, 2005)

A Biological Development Model for the Design of Robust Multiplier. - Heng Liu 006; Julian F. Miller; Andrew M. Tyrrell (EvoWorkshops, 2005)

Investigating the performance of module acquisition in cartesian genetic programming. - James Alfred Walker; Julian Francis Miller (GECCO, 2005)

Evolution In Materio: Investigating the Stability of Robot Controllers Evolved in Liquid Crystal. - Simon Harding; Julian F. Miller (ICES, 2005)

Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction. - James Alfred Walker; Julian Francis Miller (ICES, 2005)

Embedded cartesian genetic programming and the lawnmower and hierarchical-if-and-only-if problems. - James Alfred Walker; Julian Francis Miller (GECCO, 2006)

A multi-chromosome approach to standard and embedded cartesian genetic programming. - James Alfred Walker; Julian Francis Miller; Rachel Cavill (GECCO, 2006)

Through the Interaction of Neutral and Adaptive Mutations, Evolutionary Search Finds a Way. - Tina Yu; Julian Francis Miller (Artif. Life, 2006)

Redundancy and Computational Efficiency in Cartesian Genetic Programming. - Julian F. Miller; Stephen L. Smith 002 (IEEE Trans. Evol. Comput., 2006)

Predicting Prime Numbers Using Cartesian Genetic Programming. - James Alfred Walker; Julian Francis Miller (EuroGP, 2007)

Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming. - James Alfred Walker; Julian Francis Miller (EuroGP, 2007)

A new crossover technique for Cartesian genetic programming. - Janet Clegg; James Alfred Walker; Julian Francis Miller (GECCO, 2007)

Self-modifying cartesian genetic programming. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (GECCO, 2007)

Coevolution of intelligent agents using cartesian genetic programming. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (GECCO, 2007)

A developmental model of neural computation using cartesian genetic programming. - Gul Muhammad Khan; Julian F. Miller; David M. Halliday (GECCO (Companion), 2007)

Solving real-valued optimisation problems using cartesian genetic programming. - James Alfred Walker; Julian Francis Miller (GECCO, 2007)

Evolution In Materio: Evolving Logic Gates in Liquid Crystal. - Simon Harding; Julian Francis Miller (Int. J. Unconv. Comput., 2007)

Fitness functions for the unconstrained evolution of digital circuits. - Tüze Kuyucu; Martin Trefzer; Andrew J. Greensted; Julian Francis Miller; Andy M. Tyrrell (IEEE Congress on Evolutionary Computation, 2008)

An evolutionary system using development and artificial Genetic Regulatory Networks. - Song Zhan; Julian Francis Miller; Andrew M. Tyrrell (IEEE Congress on Evolutionary Computation, 2008)

Fault tolerant control using Cartesian genetic programming. - Yoshikazu Hirayama; Tim Clarke; Julian Francis Miller (GECCO, 2008)

Developing neural structure of two agents that play checkers using cartesian genetic programming. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (GECCO (Companion), 2008)

Coevolution of Neuro-developmental Programs That Play Checkers. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (ICES, 2008)

The Input Pattern Order Problem: Evolution of Combinatorial and Sequential Circuits in Hardware. - Martin Trefzer; Tüze Kuyucu; Andrew J. Greensted; Julian Francis Miller; Andy M. Tyrrell (ICES, 2008)

A Developmental Gene Regulation Network for Constructing Electronic Circuits. - Song Zhan; Julian Francis Miller; Andy M. Tyrrell (ICES, 2008)

Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (SEAL, 2008)

Evolution in Materio: Exploiting the Physics of Materials for Computation. - Simon L. Harding; Julian F. Miller; Edward A. Rietman (Int. J. Unconv. Comput., 2008)

The Automatic Acquisition, Evolution and Reuse of Modules in Cartesian Genetic Programming. - James Alfred Walker; Julian Francis Miller (IEEE Trans. Evol. Comput., 2008)

Self modifying Cartesian Genetic Programming: Parity. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2009)

In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN). - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (IEEE Congress on Evolutionary Computation, 2009)

Task decomposition and evolvability in intrinsic evolvable hardware. - Tüze Kuyucu; Martin Trefzer; Julian Francis Miller; Andy M. Tyrrell (IEEE Congress on Evolutionary Computation, 2009)

A model for intrinsic artificial development featuring structural feedback and emergent growth. - Martin Trefzer; Tüze Kuyucu; Julian Francis Miller; Andy M. Tyrrell (IEEE Congress on Evolutionary Computation, 2009)

Obtaining system robustness by mimicking natural mechanisms. - Song Zhan; Julian Francis Miller; Andy M. Tyrrell (IEEE Congress on Evolutionary Computation, 2009)

RBN-World - A Sub-symbolic Artificial Chemistry. - Adam Faulconbridge; Susan Stepney; Julian F. Miller; Leo S. D. Caves (ECAL (1), 2009)

Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (EuroGP, 2009)

Multiple Network CGP for the Classification of Mammograms. - Katharina Völk; Julian F. Miller; Stephen L. Smith 002 (EvoWorkshops, 2009)

Evolution, development and learning using self-modifying cartesian genetic programming. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (GECCO, 2009)

Evolution of cartesian genetic programs capable of learning. - Gul Muhammad Khan; Julian F. Miller (GECCO, 2009)

On the properties of artificial development and its use in evolvable hardware. - Tüze Kuyucu; Martin Trefzer; Julian F. Miller; Andrew M. Tyrrell (ALIFE, 2009)

The input pattern order problem II: Evolution of multiple-output circuits in hardware. - Martin Trefzer; Tüze Kuyucu; Julian F. Miller; Andy M. Tyrrell (WEAH, 2009)

An evolutionary system using development and artificial Genetic Regulatory Networks for electronic circuit design. - Song Zhan; Julian F. Miller; Andy M. Tyrrell (Biosyst., 2009)

Parallel evolution using multi-chromosome cartesian genetic programming. - James Alfred Walker; Katharina Völk; Stephen L. Smith 002; Julian Francis Miller (Genet. Program. Evolvable Mach., 2009)

Evolution in Materio. - Simon Harding; Julian Francis Miller (Encyclopedia of Complexity and Systems Science, 2009)

RBN-World - The Hunt for a Rich AChem. - Adam Faulconbridge; Susan Stepney; Julian F. Miller; Leo S. D. Caves (ALIFE, 2010)

Solving Mazes using an Artificial Developmental Neuron. - Gul Muhammad Khan; Julian Francis Miller (ALIFE, 2010)

Learning Games using a Single Developmental Neuron. - Gul Muhammad Khan; Julian Francis Miller (ALIFE, 2010)

Evolution of neural networks using Cartesian Genetic Programming. - Maryam Mahsal Khan; Gul Muhammad Khan; Julian F. Miller (IEEE Congress on Evolutionary Computation, 2010)

Modular design from gene regulation in a cellular system. - Song Zhan; Julian F. Miller; Andy M. Tyrrell (IEEE Congress on Evolutionary Computation, 2010)

Analytic Solutions to Differential Equations under Graph-Based Genetic Programming. - Tom Seaton; Gavin Brown 001; Julian F. Miller (EuroGP, 2010)

Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (GECCO, 2010)

Cartesian genetic programming. - Julian Francis Miller; Simon L. Harding (GECCO (Companion), 2010)

Detection of microcalcifications in mammograms using multi-chromosome Cartesian genetic programming. - Julian F. Miller; Stephen L. Smith 002; Yuan Zhang (GECCO (Companion), 2010)

Image compression of natural images using artificial gene regulatory networks. - Martin Trefzer; Tüze Kuyucu; Julian F. Miller; Andy M. Tyrrell (GECCO, 2010)

Evolution of Optimal ANNs for Non-Linear Control Problems using Cartesian Genetic Programming. - Maryam Mahsal Khan; Gul Muhammad Khan; Julian Francis Miller (IC-AI, 2010)

Introducing Flexibility in Digital Circuit Evolution: Exploiting Undefined Values in Binary Truth Tables. - Ricky D. Ledwith; Julian F. Miller (ICES, 2010)

Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network. - Martin Trefzer; Tüze Kuyucu; Julian F. Miller; Andy M. Tyrrell (ICES, 2010)

Efficient representation of Recurrent Neural Networks for markovian/non-markovian non-linear control problems. - Maryam Mahsal Khan; Gul Muhammad Khan; Julian F. Miller (ISDA, 2010)

Developments in Cartesian Genetic Programming: self-modifying CGP. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2010)

Editorial to tenth anniversary issue on progress in genetic programming and evolvable machines. - Julian F. Miller; Riccardo Poli (Genet. Program. Evolvable Mach., 2010)

SMCGP2: self modifying cartesian genetic programming in two dimensions. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (GECCO, 2011)

SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbers. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (GECCO (Companion), 2011)

GECCO 2011 tutorial: cartesian genetic programming. - Julian F. Miller; Simon L. Harding (GECCO (Companion), 2011)

Developmental Plasticity in Cartesian Genetic Programming based Neural Networks. - Maryam Mahsal Khan; Gul Muhammad Khan; Julian F. Miller (ICINCO (1), 2011)

Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture. - Gul Muhammad Khan; Julian F. Miller; David M. Halliday (Evol. Comput., 2011)

Where is the brain inside the brain? - On why artificial neural networks should be developmental. - Julian F. Miller; Gul Muhammad Khan (Memetic Comput., 2011)

An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System. - Tüze Kuyucu; Martin Trefzer; Julian Francis Miller; Andy M. Tyrrell (IEEE Trans. Evol. Comput., 2011)

Self-Modifying Cartesian Genetic Programming. - Simon L. Harding; Julian F. Miller; Wolfgang Banzhaf (Cartesian Genetic Programming, 2011)

The CGP Developmental Network. - Gul Muhammad Khan; Julian F. Miller (Cartesian Genetic Programming, 2011)

Introduction to Evolutionary Computation and Genetic Programming. - Julian F. Miller (Cartesian Genetic Programming, 2011)

Cartesian Genetic Programming. - Julian F. Miller (Cartesian Genetic Programming, 2011)

Medical Applications of Cartesian Genetic Programming. - Stephen L. Smith 002; James Alfred Walker; Julian F. Miller (Cartesian Genetic Programming, 2011)

Problem Decomposition in Cartesian Genetic Programming. - James Alfred Walker; Julian F. Miller; Paul Kaufmann; Marco Platzner (Cartesian Genetic Programming, 2011)

An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps. - Tom Seaton; Julian F. Miller; Tim Clarke (EuroGP, 2012)

Breast cancer detection using cartesian genetic programming evolved artificial neural networks. - Arbab Masood Ahmad; Gul Muhammad Khan; Sahibzada Ali Mahmud; Julian Francis Miller (GECCO, 2012)

GECCO 2012 tutorial: cartesian genetic programming. - Julian Francis Miller; Simon Harding (GECCO (Companion), 2012)

Gardening Cyber-Physical Systems. - Susan Stepney; Ada Diaconescu; René Doursat; Jean-Louis Giavitto; Taras Kowaliw; Ottoline Leyser; Bruce J. MacLennan; Olivier Michel 001; Julian F. Miller; Igor Nikolic; Antoine Spicher; Christof Teuscher; et al. (UCNC, 2012)

Nascence Project: Nanoscale Engineering for Novel Computation Using Evolution. - Hajo Broersma; Faustino J. Gomez; Julian F. Miller; Mike Petty; Gunnar Tufte (Int. J. Unconv. Comput., 2012)

Semantic Bias in Program Coevolution. - Tom Seaton; Julian F. Miller; Tim Clarke (EuroGP, 2013)

GECCO 2013 tutorial: cartesian genetic programming. - Julian F. Miller (GECCO (Companion), 2013)

Function optimization using cartesian genetic programming. - Julian F. Miller; Maktuba Mohid (GECCO (Companion), 2013)

Cartesian genetic programming encoded artificial neural networks: a comparison using three benchmarks. - Andrew James Turner; Julian Francis Miller (GECCO, 2013)

The Importance of Topology Evolution in NeuroEvolution: A Case Study Using Cartesian Genetic Programming of Artificial Neural Networks. - Andrew James Turner; Julian Francis Miller (SGAI Conf., 2013)

Fast learning neural networks using Cartesian genetic programming. - Maryam Mahsal Khan; Arbab Masood Ahmad; Gul Muhammad Khan; Julian F. Miller (Neurocomputing, 2013)

On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental Systems. - Martin Trefzer; Tüze Kuyucu; Julian F. Miller; Andy M. Tyrrell (IEEE Trans. Evol. Comput., 2013)

Cartesian Genetic Programming on the GPU. - Simon Harding; Julian F. Miller (Massively Parallel Evolutionary Computation on GPGPUs, 2013)

Cartesian Genetic Programming: Why No Bloat? - Andrew James Turner; Julian Francis Miller (EuroGP, 2014)

Practical issues for configuring carbon nanotube composite materials for computation. - Kester Dean Clegg; Julian Francis Miller; Mark Kieran Massey; Michael C. Petty (ICES, 2014)

Evolution-in-materio: Solving bin packing problems using materials. - Maktuba Mohid; Julian Francis Miller; Simon L. Harding; Gunnar Tufte; Odd Rune Lykkebø; Mark Kieran Massey; Michael C. Petty (ICES, 2014)

Evolution-in-materio: A frequency classifier using materials. - Maktuba Mohid; Julian Francis Miller; Simon L. Harding; Gunnar Tufte; Odd Rune Lykkebø; Mark Kieran Massey; Michael C. Petty (ICES, 2014)

Travelling Salesman Problem Solved 'in materio' by Evolved Carbon Nanotube Device. - Kester Dean Clegg; Julian Francis Miller; Mark Kieran Massey; Mike Petty (PPSN, 2014)

Evolution-In-Materio: Solving Machine Learning Classification Problems Using Materials. - Maktuba Mohid; Julian Francis Miller; Simon L. Harding; Gunnar Tufte; Odd Rune Lykkebø; Mark K. Massey; Michael C. Petty (PPSN, 2014)

Recurrent Cartesian Genetic Programming. - Andrew James Turner; Julian Francis Miller (PPSN, 2014)

Plug-and-Play Hyper-heuristics: An Extended Formulation. - Patricia Ryser-Welch; Julian F. Miller (SASO, 2014)

Mecobo: A Hardware and Software Platform for In Materio Evolution. - Odd Rune Lykkebø; Simon Harding; Gunnar Tufte; Julian F. Miller (UCNC, 2014)

Evolution-in-materio: Solving function optimization problems using materials. - Maktuba Mohid; Julian Francis Miller; Simon L. Harding; Gunnar Tufte; Odd Rune Lykkebø; Mark K. Massey; Michael C. Petty (UKCI, 2014)

In search of intelligence: evolving a developmental neuron capable of learning. - Gul Muhammad Khan; Julian Francis Miller (Connect. Sci., 2014)

Evolution-in-materio: evolving computation in materials. - Julian F. Miller; Simon L. Harding; Gunnar Tufte (Evol. Intell., 2014)

NeuroEvolution: Evolving Heterogeneous Artificial Neural Networks. - Andrew James Turner; Julian Francis Miller (Evol. Intell., 2014)

Neuro-Centric and Holocentric Approaches to the Evolution of Developmental Neural Networks. - Julian F. Miller (Growing Adaptive Machines, 2014)

Evolving Robot Controllers Using Carbon Nanotubes. - Maktuba Mohid; Julian F. Miller (ECAL, 2015)

Evolutionary Methods for the Construction of Cryptographic Boolean Functions. - Stjepan Picek; Domagoj Jakobovic; Julian F. Miller; Elena Marchiori; Lejla Batina (EuroGP, 2015)

Computational Matter: Evolving Computational Solutions in Materials. - Julian Francis Miller; Hajo Broersma (GECCO (Companion), 2015)

Cartesian Genetic Programming. - Julian Francis Miller; Andrew James Turner (GECCO (Companion), 2015)

Correlation Immunity of Boolean Functions: An Evolutionary Algorithms Perspective. - Stjepan Picek; Claude Carlet; Domagoj Jakobovic; Julian F. Miller; Lejla Batina (GECCO, 2015)

Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes. - Stjepan Picek; Julian F. Miller; Domagoj Jakobovic; Lejla Batina (GECCO (Companion), 2015)

Generating Human-readable Algorithms for the Travelling Salesman Problem using Hyper-Heuristics. - Patricia Ryser-Welch; Julian F. Miller; Shahriar Asta (GECCO (Companion), 2015)

Evolutionary Cross-Domain Hyper-Heuristics. - Patricia Ryser-Welch; Julian F. Miller; Shahriar Asta (GECCO (Companion), 2015)

Recurrent Cartesian Genetic Programming Applied to Series Forecasting. - Andrew James Turner; Julian Francis Miller (GECCO (Companion), 2015)

Evolutionary Approach for Finding Correlation Immune Boolean Functions of Order t with Minimal Hamming Weight. - Stjepan Picek; Sylvain Guilley; Claude Carlet; Domagoj Jakobovic; Julian F. Miller (TPNC, 2015)

Introducing a cross platform open source Cartesian Genetic Programming library. - Andrew James Turner; Julian Francis Miller (Genet. Program. Evolvable Mach., 2015)

Neutral genetic drift: an investigation using Cartesian Genetic Programming. - Andrew James Turner; Julian Francis Miller (Genet. Program. Evolvable Mach., 2015)

Evolving Solutions to Computational Problems Using Carbon Nanotubes. - Maktuba Mohid; Julian F. Miller (Int. J. Unconv. Comput., 2015)

Iterative Cartesian Genetic Programming: Creating General Algorithms for Solving Travelling Salesman Problems. - Patricia Ryser-Welch; Julian F. Miller; Jerry Swan; Martin A. Trefzer (EuroGP, 2016)

Tutorials at PPSN 2016. - Carola Doerr; Nicolas Bredèche; Enrique Alba 001; Thomas Bartz-Beielstein; Dimo Brockhoff; Benjamin Doerr; Gusz Eiben; Michael G. Epitropakis; Carlos M. Fonseca; Andreia P. Guerreiro; Evert Haasdijk; Jacqueline Heinerman; et al. (PPSN, 2016)

Reservoir computing in materio: An evaluation of configuration through evolution. - Matthew Dale; Susan Stepney; Julian Francis Miller; Martin Trefzer (SSCI, 2016)

Evolving Carbon Nanotube Reservoir Computers. - Matthew Dale; Julian F. Miller; Susan Stepney; Martin A. Trefzer (UCNC, 2016)

Cryptographic Boolean functions: One output, many design criteria. - Stjepan Picek; Domagoj Jakobovic; Julian F. Miller; Lejla Batina; Marko Cupic (Appl. Soft Comput., 2016)

Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography. - Stjepan Picek; Claude Carlet; Sylvain Guilley; Julian F. Miller; Domagoj Jakobovic (Evol. Comput., 2016)

Evolution-in-materio: solving computational problems using carbon nanotube-polymer composites. - Maktuba Mohid; Julian F. Miller; Simon L. Harding; Gunnar Tufte; Mark K. Massey; Michael C. Petty (Soft Comput., 2016)

Amplitude-oriented mixed-type CGP classification. - Karlo Knezevic; Stjepan Picek; Julian F. Miller (GECCO (Companion), 2017)

A developmental artificial neural network model for solving multiple problems. - Julian F. Miller; Dennis G. Wilson (GECCO (Companion), 2017)

Reservoir computing in materio: A computational framework for in materio computing. - Matthew Dale; Susan Stepney; Julian F. Miller; Martin Trefzer (IJCNN, 2017)

Recurrent Cartesian Genetic Programming of Artificial Neural Networks. - Andrew James Turner; Julian Francis Miller (Genet. Program. Evolvable Mach., 2017)

Evolving simple programs for playing atari games. - Dennis G. Wilson; Sylvain Cussat-Blanc; Hervé Luga; Julian F. Miller (GECCO, 2018)

Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems. - Julian F. Miller; Dennis G. Wilson; Sylvain Cussat-Blanc (GPTP, 2018)

Tutorials at PPSN 2018. - Gisele Lobo Pappa; Michael T. M. Emmerich; Ana L. C. Bazzan; Will N. Browne; Kalyanmoy Deb; Carola Doerr; Marko Durasevic; Michael G. Epitropakis; Saemundur O. Haraldsson; Domagoj Jakobovic; Pascal Kerschke; Krzysztof Krawiec; et al. (PPSN (2), 2018)

Workshops at PPSN 2018. - Robin C. Purshouse; Christine Zarges; Sylvain Cussat-Blanc; Michael G. Epitropakis; Marcus Gallagher; Thomas Jansen 001; Pascal Kerschke; Xiaodong Li 001; Fernando G. Lobo; Julian F. Miller; Pietro S. Oliveto; Mike Preuss; et al. (PPSN (2), 2018)

Positional Cartesian Genetic Programming. - Dennis G. Wilson; Julian F. Miller; Sylvain Cussat-Blanc; Hervé Luga (CoRR, 2018)

A Substrate-Independent Framework to Characterise Reservoir Computers. - Matthew Dale; Julian F. Miller; Susan Stepney; Martin A. Trefzer (CoRR, 2018)

Encoding and Representation of Information Processing in Irregular Computational Matter. - John S. McCaskill; Julian F. Miller; Susan Stepney; Peter R. Wills (Computational Matter, 2018)

In Materio Computation Using Carbon Nanotubes. - Julian F. Miller; Simon J. Hickinbotham; Martyn Amos (Computational Matter, 2018)

The alchemy of computation: designing with the unknown. - Julian Francis Miller (Nat. Comput., 2019)

Evolving developmental neural networks to solve multiple problems. - Julian Francis Miller (ALIFE, 2020)

Cartesian genetic programming: its status and future. - Julian Francis Miller (Genet. Program. Evolvable Mach., 2020)

Designing Multiple ANNs with Evolutionary Development: Activity Dependence. - Julian Francis Miller (GPTP, 2021)

Reservoir Computing in Material Substrates. - Matthew Dale; Julian F. Miller; Susan Stepney; Martin A. Trefzer (Reservoir Computing, 2021)