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2020 – today
- 2022
[c58]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: 1-8- [c57]Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Wenxuan Zhang, Tim Hendtlass:
Using Average-Fitness Based Selection to Combat the Curse of Dimensionality. CEC 2022: 1-8 - 2021
- [c56]Stephen Chen, Shehnaz Islam, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass:
A Random Walk Analysis of Search in Metaheuristics. CEC 2021: 2323-2330 - 2020
- [j10]Charlotte Pierce, Tim Hendtlass, Anthony Bartel, Clinton J. Woodward:
Evolving Musical Sight Reading Exercises Using Expert Models. Frontiers Artif. Intell. 3: 497530 (2020)
2010 – 2019
- 2019
- [c55]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: 3037-3044 - [c54]Tim Hendtlass:
The EZopt Optimisation Framework. CEC 2019: 3110-3117 - 2018
- [c53]Dania Tamayo-Vera, Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass:
Improved Exploration and Exploitation in Particle Swarm Optimization. IEA/AIE 2018: 421-433 - 2017
- [e4]Markus Wagner, Xiaodong Li, Tim Hendtlass:
Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings. Lecture Notes in Computer Science 10142, 2017, ISBN 978-3-319-51690-5 [contents] - 2016
- [c52]Tim Hendtlass, Hans Pierrot:
A network that uses parametric weights. IJCNN 2016: 60-67 - 2012
- [c51]Christopher Beer, Tim Hendtlass, James Montgomery:
Improving exploration in Ant Colony Optimisation with antennation. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c50]Tim Hendtlass:
Restarting Particle Swarm Optimisation for deceptive problems. IEEE Congress on Evolutionary Computation 2012: 1-9
2000 – 2009
- 2009
- [c49]Luke Cartwright, Tim Hendtlass:
A Heterogeneous Particle Swarm. ACAL 2009: 201-210 - [c48]Tim Hendtlass:
Particle Swarm Optimisation and high dimensional problem spaces. IEEE Congress on Evolutionary Computation 2009: 1988-1994 - [p3]Tim Hendtlass:
Quantised Problem Spaces and the Particle Swarm Algorithm. Natural Intelligence for Scheduling, Planning and Packing Problems 2009: 175-193 - [e3]Kevin B. Korb, Marcus Randall, Tim Hendtlass:
Artificial Life: Borrowing from Biology, 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings. Lecture Notes in Computer Science 5865, Springer 2009, ISBN 978-3-642-10426-8 [contents] - 2008
- [j9]James Montgomery, Marcus Randall, Tim Hendtlass:
Solution bias in ant colony optimisation: Lessons for selecting pheromone models. Comput. Oper. Res. 35(9): 2728-2749 (2008) - [c47]Ben Prime, Tim Hendtlass:
An evolutionary reincarnation algorithm. IEEE Congress on Evolutionary Computation 2008: 737-743 - [c46]David J. Howden, Tim Hendtlass:
Collective intelligence and bush fire spotting. GECCO 2008: 41-48 - [c45]Tim Hendtlass, Marcus Randall:
Extremal Optimisation and Bin Packing. SEAL 2008: 220-228 - [p2]Tim Hendtlass:
The Particle Swarm Algorithm. Computational Intelligence: A Compendium 2008: 1029-1062 - [e2]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:
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5361, Springer 2008, ISBN 978-3-540-89693-7 [contents] - 2007
- [c44]Ben Prime, Tim Hendtlass:
Mechanisms for Evolutionary Reincarnation. ACAL 2007: 245-256 - [c43]Irene Moser, Tim Hendtlass:
A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. IEEE Congress on Evolutionary Computation 2007: 252-259 - [c42]Tim Hendtlass:
Fitness estimation and the particle swarm optimisation algorithm. IEEE Congress on Evolutionary Computation 2007: 4266-4272 - [c41]Irene Moser, Tim Hendtlass:
Solving Dynamic Single-Runway Aircraft Landing Problems With Extremal Optimisation. CISched 2007: 206-211 - 2006
- [j8]Hans Pierrot, Tim Hendtlass:
Using a modified counter-propagation algorithm to classify conjoined data. Appl. Intell. 24(3): 241-251 (2006) - [c40]Tim Hendtlass:
A Particle Swarm Algorithm for Complex Quantised Problem Spaces. IEEE Congress on Evolutionary Computation 2006: 1015-1019 - [c39]Irene Moser, Tim Hendtlass:
Solving Problems with Hidden Dynamics - Comparison of Extremal Optimisation and Ant Colony System. IEEE Congress on Evolutionary Computation 2006: 1248-1255 - [c38]Tim Hendtlass, Irene Moser, Marcus Randall:
Dynamic Problems and Nature Inspired Meta-Heuristics. e-Science 2006: 111 - [c37]Irene Moser, Tim Hendtlass:
On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics. IEA/AIE 2006: 292-301 - [p1]Tim Hendtlass:
Waves of Swarm Particles (WoSP). Swarm Intelligent Systems 2006: 27-58 - 2005
- [j7]James Montgomery, Marcus Randall, Tim Hendtlass:
Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization. Artif. Life 11(3): 269-291 (2005) - [j6]Tim Hendtlass:
Developments in Applied Artificial Intelligence: Guest Editor's Introduction. Appl. Intell. 23(1): 7-8 (2005) - [j5]Daniel Angus, Tim Hendtlass:
Dynamic Ant Colony Optimisation. Appl. Intell. 23(1): 33-38 (2005) - [j4]Mehrdad Salami, Tim Hendtlass:
The Fast Evaluation Strategy for Evolvable Hardware. Genet. Program. Evolvable Mach. 6(2): 139-162 (2005) - [c36]Tim Hendtlass:
WoSP: a multi-optima particle swarm algorithm. Congress on Evolutionary Computation 2005: 727-734 - [c35]James Montgomery, Marcus Randall, Tim Hendtlass:
Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems. IEA/AIE 2005: 218-228 - [c34]Tim Hendtlass:
A particle swarm algorithm for high dimensional, multi-optima problem spaces. SIS 2005: 149-154 - 2004
- [c33]James Montgomery, Marcus Randall, Tim Hendtlass:
Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation. ANTS Workshop 2004: 390-397 - [c32]Belinda Choi, Tim Hendtlass, Kevin Bluff:
A Comparison of Neural Network Input Vector Selection Techniques. IEA/AIE 2004: 1-10 - [c31]Tim Hendtlass:
TSP Optimisation Using Multi Tour Ants. IEA/AIE 2004: 523-532 - [c30]Ben Prime, Tim Hendtlass:
Evolutionary Computation Using Island Populations in Time. IEA/AIE 2004: 573-582 - 2003
- [j3]Mehrdad Salami, Tim Hendtlass:
A fast evaluation strategy for evolutionary algorithms. Appl. Soft Comput. 2(3): 156-173 (2003) - [c29]K. Foster, Tim Hendtlass:
Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System. HIS 2003: 361-370 - [c28]Tim Hendtlass:
Preserving Diversity in Particle Swarm Optimisation. IEA/AIE 2003: 31-40 - [c27]Hans Pierrot, Tim Hendtlass:
Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data. IEA/AIE 2003: 337-347 - 2002
- [j2]David Braendler, Tim Hendtlass, Peter G. O'Donoghue:
Deterministic bit-stream digital neurons. IEEE Trans. Neural Networks 13(6): 1514-1525 (2002) - [c26]David Braendler, Tim Hendtlass:
The Suitability of Particle Swarm Optimisation for Training Neural Hardware. IEA/AIE 2002: 190-199 - [c25]Tim Hendtlass, Gerard Murray:
The Macronet Element: A Substitute for the Conventional Neuron. IEA/AIE 2002: 211-219 - [c24]Mehrdad Salami, Tim Hendtlass:
A Fast Evolutionary Algorithm for Image Compression in Hardware. IEA/AIE 2002: 241-252 - [c23]Mehrdad Salami, Tim Hendtlass:
A Fitness Estimation Strategy for Genetic Algorithms. IEA/AIE 2002: 502-513 - [c22]Daniel Angus, Tim Hendtlass:
Ant Colony Optimisation Applied to a Dynamically Changing Problem. IEA/AIE 2002: 618-627 - [e1]Tim Hendtlass, Moonis Ali:
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. Lecture Notes in Computer Science 2358, Springer 2002, ISBN 3-540-43781-9 [contents] - 2001
- [c21]Tim Hendtlass:
A Combined Swarm Differential Evolution Algorithm for Optimization Problems. IEA/AIE 2001: 11-18 - [c20]Gerard Murray, Tim Hendtlass:
Enhanced Artificial Neurons for Network Applications. IEA/AIE 2001: 281-289 - [c19]Clinton Woodward, Tim Hendtlass:
Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms. IEA/AIE 2001: 374-382 - 2000
- [c18]Tim Hendtlass:
SOMulANT: Organizing Information Using Multiple Agents. IEA/AIE 2000: 322-327
1990 – 1999
- 1999
- [c17]Gerard Murray, Tim Hendtlass, John R. Podlena:
The Parallel Path Artificial Micronet. IEA/AIE 1999: 111-117 - 1998
- [j1]John R. Podlena, Tim Hendtlass:
An Accelerated Genetic Algorithm. Appl. Intell. 8(2): 103-111 (1998) - [c16]David Philpot, Tim Hendtlass:
Ensembles of Neural Networks for Analogue Problems. IEA/AIE (Vol. 1) 1998: 625-631 - [c15]Howard Copeland, Tim Hendtlass:
An Evolutionary Algorithm with a Genetic Encoding Scheme. IEA/AIE (Vol. 1) 1998: 632-639 - [c14]Tim Hendtlass:
Generating Lookup Tables Using Evolutionary Algorithms. IEA/AIE (Vol. 1) 1998: 640-646 - 1997
- [c13]David Philpot, Tim Hendtlass:
Ensembles of Neural Networks for Digital Problems. ICANNGA 1997: 31-34 - [c12]Howard Copland, Tim Hendtlass:
Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms. ICANNGA 1997: 183-187 - [c11]John R. Podlena, Tim Hendtlass:
Using Hierarchical Genetic Populations to Improve Solution Quality. ICANNGA 1997: 198-201 - [c10]Tim Hendtlass:
Using Evolution to Develop Look Up Tables for Congruent Data Sets. ICONIP (1) 1997: 397-400 - 1996
- [c9]John R. Podlena, Tim Hendtlass:
Using The Baldwin Effect to Accelerate A Genetic Algorithm. IEA/AIE 1996: 253-260 - [c8]Tim Hendtlass:
An Evolutionary Algorithm for The Generation of Unsupervised Self Organizing Neural Nets. IEA/AIE 1996: 537-542 - [c7]David Philpot, Tim Hendtlass:
A Cascade of Neural Networks for Complex Classification. IEA/AIE 1996: 791 - [c6]Howard Copeland, Tim Hendtlass:
Better Neurons for Biological Simulations. IEA/AIE 1996: 795 - 1995
- [c5]Howard Copland, Tim Hendtlass:
Engram decay in artificial neural networks. ICNN 1995: 669-673 - [c4]Tim Hendtlass:
A self organizing artificial neural network with problem dependent structure. ICNN 1995: 1111-1115 - [c3]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: 55-60 - 1993
- [c2]Tim Hendtlass, Janice Wells:
The discrimination of short acoustic events by artificial neural networks. ANNES 1993: 109-112 - [c1]Tim Hendtlass, Simon Goss:
A low cost distributed expert system delivery environment for monitoring and control applications. ANNES 1993: 312-313
Coauthor Index
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