Tim Hendtlass

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 8

Top Topics

Weighted Average

Differential Evolution

Evolution Process

Top Venues

Frontiers Artif. Intell.

Publications

Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Wenxuan Zhang, Tim Hendtlass
Using Average-Fitness Based Selection to Combat the Curse of Dimensionality. CEC (2022)
Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Dania Tamayo-Vera, Tim Hendtlass
Measuring the Effects of Increasing Dimensionality on Fitness-Based Selection and Failed Exploration. CEC (2022)
Stephen Chen, Shehnaz Islam, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass
A Random Walk Analysis of Search in Metaheuristics. CEC (2021)
Charlotte Pierce, Tim Hendtlass, Anthony Bartel, Clinton J. Woodward
Evolving Musical Sight Reading Exercises Using Expert Models. Frontiers Artif. Intell. 3 (2020)
Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass
An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution. CEC (2019)
Tim Hendtlass
The EZopt Optimisation Framework. CEC (2019)
Dania Tamayo-Vera, Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass
Improved Exploration and Exploitation in Particle Swarm Optimization. IEA/AIE (2018)
Tim Hendtlass, Hans Pierrot
A network that uses parametric weights. IJCNN (2016)
Tim Hendtlass
Restarting Particle Swarm Optimisation for deceptive problems. IEEE Congress on Evolutionary Computation (2012)
Christopher Beer, Tim Hendtlass, James Montgomery
Improving exploration in Ant Colony Optimisation with antennation. IEEE Congress on Evolutionary Computation (2012)
Luke Cartwright, Tim Hendtlass
A Heterogeneous Particle Swarm. ACAL (2009)
Tim Hendtlass
Particle Swarm Optimisation and high dimensional problem spaces. IEEE Congress on Evolutionary Computation (2009)
Ben Prime, Tim Hendtlass
An evolutionary reincarnation algorithm. IEEE Congress on Evolutionary Computation (2008)
David J. Howden, Tim Hendtlass
Collective intelligence and bush fire spotting. GECCO (2008)
James Montgomery, Marcus Randall, Tim Hendtlass
Solution bias in ant colony optimisation: Lessons for selecting pheromone models. Comput. Oper. Res. 35 (9) (2008)
Tim Hendtlass, Marcus Randall
Extremal Optimisation and Bin Packing. SEAL (2008)
Tim Hendtlass
Fitness estimation and the particle swarm optimisation algorithm. IEEE Congress on Evolutionary Computation (2007)
Ben Prime, Tim Hendtlass
Mechanisms for Evolutionary Reincarnation. ACAL (2007)
Irene Moser, Tim Hendtlass
A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. IEEE Congress on Evolutionary Computation (2007)
Irene Moser, Tim Hendtlass
Solving Dynamic Single-Runway Aircraft Landing Problems With Extremal Optimisation. CISched (2007)
Hans Pierrot, Tim Hendtlass
Using a modified counter-propagation algorithm to classify conjoined data. Appl. Intell. 24 (3) (2006)
Irene Moser, Tim Hendtlass
On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics. IEA/AIE (2006)
Tim Hendtlass
A Particle Swarm Algorithm for Complex Quantised Problem Spaces. IEEE Congress on Evolutionary Computation (2006)
Tim Hendtlass, Irene Moser, Marcus Randall
Dynamic Problems and Nature Inspired Meta-Heuristics. e-Science (2006)
Irene Moser, Tim Hendtlass
Solving Problems with Hidden Dynamics - Comparison of Extremal Optimisation and Ant Colony System. IEEE Congress on Evolutionary Computation (2006)
Tim Hendtlass
Developments in Applied Artificial Intelligence: Guest Editor's Introduction. Appl. Intell. 23 (1) (2005)
James Montgomery, Marcus Randall, Tim Hendtlass
Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization. Artif. Life 11 (3) (2005)
Daniel Angus, Tim Hendtlass
Dynamic Ant Colony Optimisation. Appl. Intell. 23 (1) (2005)
James Montgomery, Marcus Randall, Tim Hendtlass
Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems. IEA/AIE (2005)
Mehrdad Salami, Tim Hendtlass
The Fast Evaluation Strategy for Evolvable Hardware. Genet. Program. Evolvable Mach. 6 (2) (2005)
Tim Hendtlass
WoSP: a multi-optima particle swarm algorithm. Congress on Evolutionary Computation (2005)
Tim Hendtlass
A particle swarm algorithm for high dimensional, multi-optima problem spaces. SIS (2005)
Belinda Choi, Tim Hendtlass, Kevin Bluff
A Comparison of Neural Network Input Vector Selection Techniques. IEA/AIE (2004)
James Montgomery, Marcus Randall, Tim Hendtlass
Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation. ANTS Workshop (2004)
Ben Prime, Tim Hendtlass
Evolutionary Computation Using Island Populations in Time. IEA/AIE (2004)
Tim Hendtlass
TSP Optimisation Using Multi Tour Ants. IEA/AIE (2004)
Hans Pierrot, Tim Hendtlass
Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data. IEA/AIE (2003)
K. Foster, Tim Hendtlass
Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System. HIS (2003)
Mehrdad Salami, Tim Hendtlass
A fast evaluation strategy for evolutionary algorithms. Appl. Soft Comput. 2 (3) (2003)
Tim Hendtlass
Preserving Diversity in Particle Swarm Optimisation. IEA/AIE (2003)
Mehrdad Salami, Tim Hendtlass
A Fast Evolutionary Algorithm for Image Compression in Hardware. IEA/AIE (2002)
Daniel Angus, Tim Hendtlass
Ant Colony Optimisation Applied to a Dynamically Changing Problem. IEA/AIE (2002)
David Braendler, Tim Hendtlass, Peter G. O'Donoghue
Deterministic bit-stream digital neurons. IEEE Trans. Neural Networks 13 (6) (2002)
Tim Hendtlass, Gerard Murray
The Macronet Element: A Substitute for the Conventional Neuron. IEA/AIE (2002)
Mehrdad Salami, Tim Hendtlass
A Fitness Estimation Strategy for Genetic Algorithms. IEA/AIE (2002)
David Braendler, Tim Hendtlass
The Suitability of Particle Swarm Optimisation for Training Neural Hardware. IEA/AIE (2002)
Clinton Woodward, Tim Hendtlass
Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms. IEA/AIE (2001)
Tim Hendtlass
A Combined Swarm Differential Evolution Algorithm for Optimization Problems. IEA/AIE (2001)
Gerard Murray, Tim Hendtlass
Enhanced Artificial Neurons for Network Applications. IEA/AIE (2001)
Tim Hendtlass
SOMulANT: Organizing Information Using Multiple Agents. IEA/AIE (2000)
Gerard Murray, Tim Hendtlass, John R. Podlena
The Parallel Path Artificial Micronet. IEA/AIE (1999)
Howard Copeland, Tim Hendtlass
An Evolutionary Algorithm with a Genetic Encoding Scheme. IEA/AIE (Vol. 1) (1998)
Tim Hendtlass
Generating Lookup Tables Using Evolutionary Algorithms. IEA/AIE (Vol. 1) (1998)
David Philpot, Tim Hendtlass
Ensembles of Neural Networks for Analogue Problems. IEA/AIE (Vol. 1) (1998)
John R. Podlena, Tim Hendtlass
An Accelerated Genetic Algorithm. Appl. Intell. 8 (2) (1998)
Howard Copland, Tim Hendtlass
Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms. ICANNGA (1997)
Tim Hendtlass
Using Evolution to Develop Look Up Tables for Congruent Data Sets. ICONIP (1) (1997)
John R. Podlena, Tim Hendtlass
Using Hierarchical Genetic Populations to Improve Solution Quality. ICANNGA (1997)
David Philpot, Tim Hendtlass
Ensembles of Neural Networks for Digital Problems. ICANNGA (1997)
John R. Podlena, Tim Hendtlass
Using The Baldwin Effect to Accelerate A Genetic Algorithm. IEA/AIE (1996)
David Philpot, Tim Hendtlass
A Cascade of Neural Networks for Complex Classification. IEA/AIE (1996)
Tim Hendtlass
An Evolutionary Algorithm for The Generation of Unsupervised Self Organizing Neural Nets. IEA/AIE (1996)
Howard Copeland, Tim Hendtlass
Better Neurons for Biological Simulations. IEA/AIE (1996)
Howard Copland, Tim Hendtlass
Engram decay in artificial neural networks. ICNN (1995)
Tim Hendtlass
A self organizing artificial neural network with problem dependent structure. ICNN (1995)
John R. Podlena, Tim Hendtlass
Using a Combination of Genetic Algorithm and Hill Climbing Techniques for the Solution of a Difficult Letter Recognition Problem. IEA/AIE (1995)
Tim Hendtlass, Janice Wells
The discrimination of short acoustic events by artificial neural networks. ANNES (1993)
Tim Hendtlass, Simon Goss
A low cost distributed expert system delivery environment for monitoring and control applications. ANNES (1993)