Tim Hendtlass

75 papers A 1B 16C 25Journal 10Unranked 17
YearRankTypeTitle / Venue / Authors
2022 B conf
Measuring the Effects of Increasing Dimensionality on Fitness-Based Selection and Failed Exploration.
CEC
Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Dania Tamayo-Vera, Tim Hendtlass
2022 B conf
Using Average-Fitness Based Selection to Combat the Curse of Dimensionality.
CEC
Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Wenxuan Zhang, Tim Hendtlass
2021 B conf
A Random Walk Analysis of Search in Metaheuristics.
CEC
Stephen Chen, Shehnaz Islam, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass
2020 J jnl
Evolving Musical Sight Reading Exercises Using Expert Models.
Frontiers Artif. Intell.
Charlotte Pierce, Tim Hendtlass, Anthony Bartel, Clinton J. Woodward
2019 B conf
An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution.
CEC
Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass
2019 B conf
The EZopt Optimisation Framework.
CEC
Tim Hendtlass
2018 C conf
Improved Exploration and Exploitation in Particle Swarm Optimization.
IEA/AIE
Dania Tamayo-Vera, Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass
2017 — ed.
Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings
ACALCI
Markus Wagner, Xiaodong Li, Tim Hendtlass
2016 B conf
A network that uses parametric weights.
IJCNN
Tim Hendtlass, Hans Pierrot
2012 B conf
Improving exploration in Ant Colony Optimisation with antennation.
IEEE Congress on Evolutionary Computation
Christopher Beer, Tim Hendtlass, James Montgomery
2012 B conf
Restarting Particle Swarm Optimisation for deceptive problems.
IEEE Congress on Evolutionary Computation
Tim Hendtlass
2009 — conf
A Heterogeneous Particle Swarm.
ACAL
Luke Cartwright, Tim Hendtlass
2009 — ed.
Artificial Life: Borrowing from Biology, 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings
ACAL
Kevin B. Korb, Marcus Randall, Tim Hendtlass
2009 B conf
Particle Swarm Optimisation and high dimensional problem spaces.
IEEE Congress on Evolutionary Computation
Tim Hendtlass
2009 — ch.
Quantised Problem Spaces and the Particle Swarm Algorithm.
Natural Intelligence for Scheduling, Planning and Packing Problems
Tim Hendtlass
2008 B conf
An evolutionary reincarnation algorithm.
IEEE Congress on Evolutionary Computation
Ben Prime, Tim Hendtlass
2008 A conf
Collective intelligence and bush fire spotting.
GECCO
David J. Howden, Tim Hendtlass
2008 — conf
Extremal Optimisation and Bin Packing.
SEAL
Tim Hendtlass, Marcus Randall
2008 — ed.
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings
SEAL
Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi
2008 J jnl
Solution bias in ant colony optimisation: Lessons for selecting pheromone models.
Comput. Oper. Res.
James Montgomery, Marcus Randall, Tim Hendtlass
2008 — ch.
The Particle Swarm Algorithm.
Computational Intelligence: A Compendium
Tim Hendtlass
2007 B conf
A simple and efficient multi-component algorithm for solving dynamic function optimisation problems.
IEEE Congress on Evolutionary Computation
Irene Moser, Tim Hendtlass
2007 B conf
Fitness estimation and the particle swarm optimisation algorithm.
IEEE Congress on Evolutionary Computation
Tim Hendtlass
2007 — conf
Mechanisms for Evolutionary Reincarnation.
ACAL
Ben Prime, Tim Hendtlass
2007 — conf
Solving Dynamic Single-Runway Aircraft Landing Problems With Extremal Optimisation.
CISched
Irene Moser, Tim Hendtlass
2006 B conf
A Particle Swarm Algorithm for Complex Quantised Problem Spaces.
IEEE Congress on Evolutionary Computation
Tim Hendtlass
2006 B conf
Dynamic Problems and Nature Inspired Meta-Heuristics.
e-Science
Tim Hendtlass, Irene Moser, Marcus Randall
2006 C conf
On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics.
IEA/AIE
Irene Moser, Tim Hendtlass
2006 B conf
Solving Problems with Hidden Dynamics - Comparison of Extremal Optimisation and Ant Colony System.
IEEE Congress on Evolutionary Computation
Irene Moser, Tim Hendtlass
2006 J jnl
Using a modified counter-propagation algorithm to classify conjoined data.
Appl. Intell.
Hans Pierrot, Tim Hendtlass
2006 — ch.
Waves of Swarm Particles (WoSP).
Swarm Intelligent Systems
Tim Hendtlass
2005 — conf
A particle swarm algorithm for high dimensional, multi-optima problem spaces.
SIS
Tim Hendtlass
2005 J jnl
Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization.
Artif. Life
James Montgomery, Marcus Randall, Tim Hendtlass
2005 J jnl
Developments in Applied Artificial Intelligence: Guest Editor's Introduction.
Appl. Intell.
Tim Hendtlass
2005 J jnl
Dynamic Ant Colony Optimisation.
Appl. Intell.
Daniel Angus, Tim Hendtlass
2005 C conf
Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems.
IEA/AIE
James Montgomery, Marcus Randall, Tim Hendtlass
2005 J jnl
The Fast Evaluation Strategy for Evolvable Hardware.
Genet. Program. Evolvable Mach.
Mehrdad Salami, Tim Hendtlass
2005 B conf
WoSP: a multi-optima particle swarm algorithm.
Congress on Evolutionary Computation
Tim Hendtlass
2004 C conf
A Comparison of Neural Network Input Vector Selection Techniques.
IEA/AIE
Belinda Choi, Tim Hendtlass, Kevin Bluff
2004 C conf
Evolutionary Computation Using Island Populations in Time.
IEA/AIE
Ben Prime, Tim Hendtlass
2004 — conf
Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation.
ANTS Workshop
James Montgomery, Marcus Randall, Tim Hendtlass
2004 C conf
TSP Optimisation Using Multi Tour Ants.
IEA/AIE
Tim Hendtlass
2003 J jnl
A fast evaluation strategy for evolutionary algorithms.
Appl. Soft Comput.
Mehrdad Salami, Tim Hendtlass
2003 C conf
Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System.
HIS
K. Foster, Tim Hendtlass
2003 C conf
Preserving Diversity in Particle Swarm Optimisation.
IEA/AIE
Tim Hendtlass
2003 C conf
Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data.
IEA/AIE
Hans Pierrot, Tim Hendtlass
2002 C conf
A Fast Evolutionary Algorithm for Image Compression in Hardware.
IEA/AIE
Mehrdad Salami, Tim Hendtlass
2002 C conf
A Fitness Estimation Strategy for Genetic Algorithms.
IEA/AIE
Mehrdad Salami, Tim Hendtlass
2002 C conf
Ant Colony Optimisation Applied to a Dynamically Changing Problem.
IEA/AIE
Daniel Angus, Tim Hendtlass
2002 J jnl
Deterministic bit-stream digital neurons.
IEEE Trans. Neural Networks
David Braendler, Tim Hendtlass, Peter G. O'Donoghue
2002 C ed.
Developments in Applied Artificial Intelligence, 15th International Conference on Industrial and Engineering, Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Cairns, Australia, June 17-20, 2002, Proceedings
IEA/AIE
Tim Hendtlass, Moonis Ali
2002 C conf
The Macronet Element: A Substitute for the Conventional Neuron.
IEA/AIE
Tim Hendtlass, Gerard Murray
2002 C conf
The Suitability of Particle Swarm Optimisation for Training Neural Hardware.
IEA/AIE
David Braendler, Tim Hendtlass
2001 C conf
A Combined Swarm Differential Evolution Algorithm for Optimization Problems.
IEA/AIE
Tim Hendtlass
2001 C conf
Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms.
IEA/AIE
Clinton Woodward, Tim Hendtlass
2001 C conf
Enhanced Artificial Neurons for Network Applications.
IEA/AIE
Gerard Murray, Tim Hendtlass
2000 C conf
SOMulANT: Organizing Information Using Multiple Agents.
IEA/AIE
Tim Hendtlass
1999 C conf
The Parallel Path Artificial Micronet.
IEA/AIE
Gerard Murray, Tim Hendtlass, John R. Podlena
1998 J jnl
An Accelerated Genetic Algorithm.
Appl. Intell.
John R. Podlena, Tim Hendtlass
1998 — conf
An Evolutionary Algorithm with a Genetic Encoding Scheme.
IEA/AIE (Vol. 1)
Howard Copeland, Tim Hendtlass
1998 — conf
Ensembles of Neural Networks for Analogue Problems.
IEA/AIE (Vol. 1)
David Philpot, Tim Hendtlass
1998 — conf
Generating Lookup Tables Using Evolutionary Algorithms.
IEA/AIE (Vol. 1)
Tim Hendtlass
1997 — conf
Ensembles of Neural Networks for Digital Problems.
ICANNGA
David Philpot, Tim Hendtlass
1997 — conf
Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms.
ICANNGA
Howard Copland, Tim Hendtlass
1997 — conf
Using Evolution to Develop Look Up Tables for Congruent Data Sets.
ICONIP (1)
Tim Hendtlass
1997 — conf
Using Hierarchical Genetic Populations to Improve Solution Quality.
ICANNGA
John R. Podlena, Tim Hendtlass
1996 C conf
A Cascade of Neural Networks for Complex Classification.
IEA/AIE
David Philpot, Tim Hendtlass
1996 C conf
An Evolutionary Algorithm for The Generation of Unsupervised Self Organizing Neural Nets.
IEA/AIE
Tim Hendtlass
1996 C conf
Better Neurons for Biological Simulations.
IEA/AIE
Howard Copeland, Tim Hendtlass
1996 C conf
Using The Baldwin Effect to Accelerate A Genetic Algorithm.
IEA/AIE
John R. Podlena, Tim Hendtlass
1995 — conf
A self organizing artificial neural network with problem dependent structure.
ICNN
Tim Hendtlass
1995 — conf
Engram decay in artificial neural networks.
ICNN
Howard Copland, Tim Hendtlass
1995 C conf
Using a Combination of Genetic Algorithm and Hill Climbing Techniques for the Solution of a Difficult Letter Recognition Problem.
IEA/AIE
John R. Podlena, Tim Hendtlass
1993 — conf
A low cost distributed expert system delivery environment for monitoring and control applications.
ANNES
Tim Hendtlass, Simon Goss
1993 — conf
The discrimination of short acoustic events by artificial neural networks.
ANNES
Tim Hendtlass, Janice Wells