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Computer Science

D-Index
41
Citations
8067
World Ranking
8759
National Ranking
533

Overview

Phil Husbands is affiliated with the University of Sussex in the United Kingdom. Their research spans multiple fields with a focus on Computer Science, Neuroscience, and Engineering. Within these fields, they have contributed notably to subfields such as Artificial Intelligence, Cognitive Neuroscience, Computational Theory and Mathematics, Biomedical Engineering, and Electrical and Electronic Engineering.

The main topics of their work cover Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Neural Dynamics and Brain Function, Neural Networks and Reservoir Computing, Advanced Memory and Neural Computing, and Modular Robots and Swarm Intelligence.

Phil Husbands has authored several research papers published in reputable venues. Some recent examples include:

  • Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics (2021) published in Applied Intelligence
  • Two New Bio-Inspired Particle Swarm Optimisation Algorithms for Single-Objective Continuous Variable Problems Based on Eavesdropping and Altruistic Animal Behaviours (2024) in Biomimetics
  • The role of rebound spikes in the maintenance of self-sustained neural spiking activity (2021) in Nonlinear Dynamics
  • AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm for Global Optimisation (2021) presented at the 2021 IEEE Symposium Series on Computational Intelligence (SSCI)
  • HIDMS-PSO Algorithm with an Adaptive Topological Structure (2021) also presented at the 2021 IEEE Symposium Series on Computational Intelligence (SSCI)

Their frequent coauthors include Andrew Philippides, Fevzi Tugrul Varna, Michael Garvie, Bruno André Santos, and Rogério Martins Gomes.

Phil Husbands has published in leading venues multiple times, with a notable presence in the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Preprints.org, Applied Intelligence, Biomimetics, and Nonlinear Dynamics.

In addition to journal and conference papers, Phil Husbands has contributed to academic books, such as a publication titled Robots in 2021 by Oxford University Press.

Best Publications

  • Noise and the Reality Gap: The Use of Simulation in Evolutionary Robotics

    Nick Jacobi;Phil Husbands;Inman Harvey

  • Explorations in evolutionary robotics

    Dave Cliff;Phil Husbands;Inman Harvey

  • Evolutionary Robotics: the Sussex Approach

    Inman Harvey;Phil Husbands;Dave Cliff;Adrian Thompson

  • Seeing the light: artificial evolution, real vision

    Inman Harvey;Phil Husbands;Dave Cliff

  • Simulated Co-Evolution as the Mechanism for Emergent Planning and Scheduling.

    Phil Husbands;Frank Mill

  • A Model of Ant Route Navigation Driven by Scene Familiarity

    Bart Baddeley;Paul Graham;Philip Husbands;Andrew Philippides

  • Evolution of central pattern generators for bipedal walking in a real-time physics environment

    T. Reil;P. Husbands

  • Fitness landscapes and evolvability

    Tom Smith;Phil Husbands;Paul Layzell;Michael O'Shea

  • Better Living Through Chemistry: Evolving GasNets for Robot Control

    Phil Husbands;Tom Smith;Nick Jakobi;Michael O'Shea

  • Evolving controllers for a homogeneous system of physical robots: structured cooperation with minimal sensors.

    Matt Quinn;Lincoln Smith;Giles Mayley;Phil Husbands

  • Four-Dimensional Neuronal Signaling by Nitric Oxide: A Computational Analysis

    Andrew Philippides;Phil Husbands;Michael O'Shea

  • Distributed Coevolutionary Genetic Algorithms for Multi-Criteria and Multi-Constraint Optimisation

    Phil Husbands

  • Unconstrained Evolution and Hard Consequences

    Adrian Thompson;Inman Harvey;Phil Husbands

  • Fourth European Conference on Artificial Life

    Phil Husbands;Inman Harvey

  • Incremental evolution of neural network architectures for adaptive behavior.

    Dave Cliff;Inman Harvey;Phil Husbands

  • Selectionist and evolutionary approaches to brain function: a critical appraisal.

    Chrisantha Thomas Fernando;Chrisantha Thomas Fernando;Eors Szathmary;Phil Husbands

  • Artificial Evolution: A New Path for Artificial Intelligence?

    P. Husbands;I. Harvey;D. Cliff;G. Miller

  • Circle In The Round: State Space Attractors for Evolved Sighted Robots

    Philip Husbands;Inman Harvey;Dave Cliff

  • Evolutionary Robotics: A Survey of Applications and Problems

    Jean-Arcady Meyer;Phil Husbands;Inman Harvey

  • Proceedings of the Fourth European Conference on Artificial Life

    Phil Husbands;Inman Harvey

  • Evolving artificial intelligence.

    Phil Husbands

Frequent Co-Authors

Jordan Pollack
Jordan Pollack Brandeis University
Michael O'Shea
Michael O'Shea University of Sussex
Inman Harvey
Inman Harvey University of Sussex
Ezequiel A. Di Paolo
Ezequiel A. Di Paolo University of the Basque Country
Dave Cliff
Dave Cliff University of Bristol
Eörs Szathmáry
Eörs Szathmáry Parmenides Foundation
Paul Graham
Paul Graham University of Sussex
Geoffrey F. Miller
Geoffrey F. Miller University of New Mexico
Kevin Staras
Kevin Staras University of Sussex
Fernando J. Von Zuben
Fernando J. Von Zuben State University of Campinas

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