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Computer Science

D-Index
51
Citations
12811
World Ranking
5265
National Ranking
317

Overview

Julian F. Miller is affiliated with the University of York in the United Kingdom. Their research contributions span multiple disciplines, notably within computer science, engineering, and neuroscience.

The primary fields of study in their work include:

  • Computer Science
  • Engineering
  • Neuroscience

More specifically, their research focuses on subfields such as:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Cognitive Neuroscience

The major topics covered in their publications consist of:

  • Neural Networks and Reservoir Computing
  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Evolutionary Algorithms and Applications
  • Reinforcement Learning in Robotics
  • Neural Networks and Applications

Among the documented outputs, there is a recorded paper authored by Julian F. Miller titled IMPROBED: Multiple Problem-Solving Brain via Evolved Developmental Programs, published in 2021 in the journal Artificial Life. This publication has been cited multiple times, indicating engagement within the academic community.

Frequent collaborators in their research include:

  • Matthew Dale
  • Susan Stepney
  • Martin A. Trefzer

Their work has appeared prominently in the venue Artificial Life, contributing to the discourse at the intersection of artificial life studies and computational methods.

Best Publications

  • Cartesian genetic programming

    Julian Francis Miller;Simon L. Harding

  • Cartesian Genetic Programming

    Julian F. Miller;Peter Thomson

  • Genetic and Evolutionary Computation -- GECCO-2003

    Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis

  • Principles in the Evolutionary Design of Digital Circuits—Part II

    Julian F. Miller;Dominic Job;Vesselin K. Vassilev

  • Cartesian Genetic Programming.

    Julian F. Miller

  • Principles in the Evolutionary Design of Digital Circuits—Part I

    Unknown

  • Redundancy and computational efficiency in Cartesian genetic programming

    J.F. Miller;S.L. Smith

  • An empirical study of the efficiency of learning boolean functions using a Cartesian Genetic Programming approach

    Julian F. Miller

  • Designing Electronic Circuits Using Evolutionary Algorithms. Arithmetic Circuits: A Case Study

    J. F. Miller

  • Information Characteristics and the Structure of Landscapes

    Vesselin K. Vassilev;Terence C. Fogarty;Julian F. Miller

  • Neutrality and the Evolvability of Boolean Function Landscape

    Tina Yu;Julian F. Miller

  • The Advantages of Landscape Neutrality in Digital Circuit Evolution

    Vesselin K. Vassilev;Julian F. Miller

  • Evolving a Self-Repairing, Self-Regulating, French Flag Organism

    Julian Francis Miller

  • Proceedings of the Genetic and Evolutionary Computation Conference

    William B. Langdon;Erick Cantú-Paz;Keith E. Mathias;Rajkumar Roy

  • The Automatic Acquisition, Evolution and Reuse of Modules in Cartesian Genetic Programming

    J.A. Walker;J.F. Miller

  • Evolution in materio: looking beyond the silicon box

    J.F. Miller;K. Downing

  • Self-modifying cartesian genetic programming

    Simon L. Harding;Julian F. Miller;Wolfgang Banzhaf

  • Guidelines: From artificial evolution to computational evolution: a research agenda

    Wolfgang Banzhaf;Guillaume Beslon;Steffen Christensen;James A. Foster

  • Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair

    Julian F. Miller

  • Towards the automatic design of more efficient digital circuits

    V.K. Vassilev;D. Job;J.F. Miller

  • Evolving more efficient digital circuits by allowing circuit layout evolution and multi-objective fitness

    T. Kalganova;J. Miller

Frequent Co-Authors

Andy M. Tyrrell
Andy M. Tyrrell University of York
Wolfgang Banzhaf
Wolfgang Banzhaf Michigan State University
Susan Stepney
Susan Stepney University of York
Michael C. Petty
Michael C. Petty Durham University
William B. Langdon
William B. Langdon University College London
Riccardo Poli
Riccardo Poli University of Essex
Mike Preuss
Mike Preuss Leiden University
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Claude Carlet
Claude Carlet Paris 8 University
Lejla Batina
Lejla Batina Radboud University

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