Tim Hendtlass

According to our database, Tim Hendtlass authored at least 71 papers between 1993 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Using Average-Fitness Based Selection to Combat the Curse of Dimensionality.

Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Wenxuan Zhang, Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Measuring the Effects of Increasing Dimensionality on Fitness-Based Selection and Failed Exploration.

Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Dania Tamayo-Vera, Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

A Random Walk Analysis of Search in Metaheuristics.

Stephen Chen, Shehnaz Islam, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Evolving Musical Sight Reading Exercises Using Expert Models.

Charlotte Pierce, Tim Hendtlass, Anthony Bartel, Clinton J. Woodward

Frontiers Artif. Intell., 2020

2019

The EZopt Optimisation Framework.

Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution.

Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Improved Exploration and Exploitation in Particle Swarm Optimization.

Dania Tamayo-Vera, Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2016

A network that uses parametric weights.

Tim Hendtlass, Hans Pierrot

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2012

Restarting Particle Swarm Optimisation for deceptive problems.

Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Improving exploration in Ant Colony Optimisation with antennation.

Christopher Beer, Tim Hendtlass, James Montgomery

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2009

Quantised Problem Spaces and the Particle Swarm Algorithm.

Tim Hendtlass

Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

Particle Swarm Optimisation and high dimensional problem spaces.

Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A Heterogeneous Particle Swarm.

Luke Cartwright, Tim Hendtlass

Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008

The Particle Swarm Algorithm.

Tim Hendtlass

Proceedings of the Computational Intelligence: A Compendium, 2008

Solution bias in ant colony optimisation: Lessons for selecting pheromone models.

James Montgomery, Marcus Randall, Tim Hendtlass

Comput. Oper. Res., 2008

Extremal Optimisation and Bin Packing.

Tim Hendtlass, Marcus Randall

Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Collective intelligence and bush fire spotting.

David J. Howden, Tim Hendtlass

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An evolutionary reincarnation algorithm.

Ben Prime, Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Solving Dynamic Single-Runway Aircraft Landing Problems With Extremal Optimisation.

Irene Moser, Tim Hendtlass

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

A simple and efficient multi-component algorithm for solving dynamic function optimisation problems.

Irene Moser, Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Fitness estimation and the particle swarm optimisation algorithm.

Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Mechanisms for Evolutionary Reincarnation.

Ben Prime, Tim Hendtlass

Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006

Waves of Swarm Particles (WoSP).

Tim Hendtlass

Proceedings of the Swarm Intelligent Systems, 2006

Using a modified counter-propagation algorithm to classify conjoined data.

Hans Pierrot, Tim Hendtlass

Appl. Intell., 2006

On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics.

Irene Moser, Tim Hendtlass

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Dynamic Problems and Nature Inspired Meta-Heuristics.

Tim Hendtlass, Irene Moser, Marcus Randall

Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

Solving Problems with Hidden Dynamics - Comparison of Extremal Optimisation and Ant Colony System.

Irene Moser, Tim Hendtlass

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Particle Swarm Algorithm for Complex Quantised Problem Spaces.

Tim Hendtlass

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

The Fast Evaluation Strategy for Evolvable Hardware.

Mehrdad Salami, Tim Hendtlass

Genet. Program. Evolvable Mach., 2005

Developments in Applied Artificial Intelligence: Guest Editor's Introduction.

Tim Hendtlass

Appl. Intell., 2005

Dynamic Ant Colony Optimisation.

Daniel Angus, Tim Hendtlass

Appl. Intell., 2005

Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization.

James Montgomery, Marcus Randall, Tim Hendtlass

Artif. Life, 2005

A particle swarm algorithm for high dimensional, multi-optima problem spaces.

Tim Hendtlass

Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems.

James Montgomery, Marcus Randall, Tim Hendtlass

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

WoSP: a multi-optima particle swarm algorithm.

Tim Hendtlass

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Evolutionary Computation Using Island Populations in Time.

Ben Prime, Tim Hendtlass

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

TSP Optimisation Using Multi Tour Ants.

Tim Hendtlass

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

A Comparison of Neural Network Input Vector Selection Techniques.

Belinda Choi, Tim Hendtlass, Kevin Bluff

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation.

James Montgomery, Marcus Randall, Tim Hendtlass

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

2003

A fast evaluation strategy for evolutionary algorithms.

Mehrdad Salami, Tim Hendtlass

Appl. Soft Comput., 2003

Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data.

Hans Pierrot, Tim Hendtlass

Proceedings of the Developments in Applied Artificial Intelligence, 2003

Preserving Diversity in Particle Swarm Optimisation.

Tim Hendtlass

Proceedings of the Developments in Applied Artificial Intelligence, 2003

Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System.

K. Foster, Tim Hendtlass

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

2002

Deterministic bit-stream digital neurons.

David Braendler, Tim Hendtlass, Peter G. O'Donoghue

IEEE Trans. Neural Networks, 2002

A Fitness Estimation Strategy for Genetic Algorithms.

Mehrdad Salami, Tim Hendtlass

Proceedings of the Developments in Applied Artificial Intelligence, 2002

A Fast Evolutionary Algorithm for Image Compression in Hardware.

Mehrdad Salami, Tim Hendtlass

Proceedings of the Developments in Applied Artificial Intelligence, 2002

The Macronet Element: A Substitute for the Conventional Neuron.

Tim Hendtlass, Gerard Murray

Proceedings of the Developments in Applied Artificial Intelligence, 2002

The Suitability of Particle Swarm Optimisation for Training Neural Hardware.

David Braendler, Tim Hendtlass

Proceedings of the Developments in Applied Artificial Intelligence, 2002

Ant Colony Optimisation Applied to a Dynamically Changing Problem.

Daniel Angus, Tim Hendtlass

Proceedings of the Developments in Applied Artificial Intelligence, 2002

2001

Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms.

Clinton Woodward, Tim Hendtlass

Proceedings of the Engineering of Intelligent Systems, 2001

Enhanced Artificial Neurons for Network Applications.

Gerard Murray, Tim Hendtlass

Proceedings of the Engineering of Intelligent Systems, 2001

A Combined Swarm Differential Evolution Algorithm for Optimization Problems.

Tim Hendtlass

Proceedings of the Engineering of Intelligent Systems, 2001

2000

SOMulANT: Organizing Information Using Multiple Agents.

Tim Hendtlass

Proceedings of the Intelligent Problem Solving, 2000

1999

The Parallel Path Artificial Micronet.

Gerard Murray, Tim Hendtlass, John R. Podlena

Proceedings of the Multiple Approaches to Intelligent Systems, 1999

1998

An Accelerated Genetic Algorithm.

John R. Podlena, Tim Hendtlass

Appl. Intell., 1998

Ensembles of Neural Networks for Analogue Problems.

David Philpot, Tim Hendtlass

Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998

Generating Lookup Tables Using Evolutionary Algorithms.

Tim Hendtlass

Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998

An Evolutionary Algorithm with a Genetic Encoding Scheme.

Howard Copeland, Tim Hendtlass

Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998

1997

Using Evolution to Develop Look Up Tables for Congruent Data Sets.

Tim Hendtlass

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Using Hierarchical Genetic Populations to Improve Solution Quality.

John R. Podlena, Tim Hendtlass

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Ensembles of Neural Networks for Digital Problems.

David Philpot, Tim Hendtlass

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms.

Howard Copland, Tim Hendtlass

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1996

Using The Baldwin Effect to Accelerate A Genetic Algorithm.

John R. Podlena, Tim Hendtlass

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

A Cascade of Neural Networks for Complex Classification.

David Philpot, Tim Hendtlass

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

An Evolutionary Algorithm for The Generation of Unsupervised Self Organizing Neural Nets.

Tim Hendtlass

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

Better Neurons for Biological Simulations.

Howard Copeland, Tim Hendtlass

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

1995

Using a Combination of Genetic Algorithm and Hill Climbing Techniques for the Solution of a Difficult Letter Recognition Problem.

John R. Podlena, Tim Hendtlass

Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

A self organizing artificial neural network with problem dependent structure.

Tim Hendtlass

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Engram decay in artificial neural networks.

Howard Copland, Tim Hendtlass

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1993

The discrimination of short acoustic events by artificial neural networks.

Tim Hendtlass, Janice Wells

Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

A low cost distributed expert system delivery environment for monitoring and control applications.

Tim Hendtlass, Simon Goss

Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993