2008 |
43 | EE | 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
Springer 2008 |
42 | EE | David Howden,
Tim Hendtlass:
Collective intelligence and bush fire spotting.
GECCO 2008: 41-48 |
41 | EE | Ben Prime,
Tim Hendtlass:
An evolutionary reincarnation algorithm.
IEEE Congress on Evolutionary Computation 2008: 737-743 |
40 | EE | Tim Hendtlass,
Marcus Randall:
Extremal Optimisation and Bin Packing.
SEAL 2008: 220-228 |
39 | EE | Tim Hendtlass:
The Particle Swarm Algorithm.
Computational Intelligence: A Compendium 2008: 1029-1062 |
38 | EE | James Montgomery,
Marcus Randall,
Tim Hendtlass:
Solution bias in ant colony optimisation: Lessons for selecting pheromone models.
Computers & OR 35(9): 2728-2749 (2008) |
2007 |
37 | EE | Ben Prime,
Tim Hendtlass:
Mechanisms for Evolutionary Reincarnation.
ACAL 2007: 245-256 |
36 | EE | 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 |
35 | EE | Tim Hendtlass:
Fitness estimation and the particle swarm optimisation algorithm.
IEEE Congress on Evolutionary Computation 2007: 4266-4272 |
2006 |
34 | EE | Irene Moser,
Tim Hendtlass:
On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics.
IEA/AIE 2006: 292-301 |
33 | EE | Tim Hendtlass,
Irene Moser,
Marcus Randall:
Dynamic Problems and Nature Inspired Meta-Heuristics.
e-Science 2006: 111 |
32 | EE | Tim Hendtlass:
Waves of Swarm Particles (WoSP).
Swarm Intelligent Systems 2006: 27-58 |
31 | EE | Hans Pierrot,
Tim Hendtlass:
Using a modified counter-propagation algorithm to classify conjoined data.
Appl. Intell. 24(3): 241-251 (2006) |
2005 |
30 | EE | Tim Hendtlass:
WoSP: a multi-optima particle swarm algorithm.
Congress on Evolutionary Computation 2005: 727-734 |
29 | EE | James Montgomery,
Marcus Randall,
Tim Hendtlass:
Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems.
IEA/AIE 2005: 218-228 |
28 | EE | Daniel Angus,
Tim Hendtlass:
Dynamic Ant Colony Optimisation.
Appl. Intell. 23(1): 33-38 (2005) |
27 | EE | Tim Hendtlass:
Developments in Applied Artificial Intelligence: Guest Editor's Introduction.
Appl. Intell. 23(1): 7-8 (2005) |
26 | EE | James Montgomery,
Marcus Randall,
Tim Hendtlass:
Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization.
Artificial Life 11(3): 269-291 (2005) |
25 | EE | Mehrdad Salami,
Tim Hendtlass:
The Fast Evaluation Strategy for Evolvable Hardware.
Genetic Programming and Evolvable Machines 6(2): 139-162 (2005) |
2004 |
24 | EE | James Montgomery,
Marcus Randall,
Tim Hendtlass:
Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation.
ANTS Workshop 2004: 390-397 |
23 | EE | Belinda Choi,
Tim Hendtlass,
Kevin Bluff:
A Comparison of Neural Network Input Vector Selection Techniques.
IEA/AIE 2004: 1-10 |
22 | EE | Tim Hendtlass:
TSP Optimisation Using Multi Tour Ants.
IEA/AIE 2004: 523-532 |
21 | EE | Ben Prime,
Tim Hendtlass:
Evolutionary Computation Using Island Populations in Time.
IEA/AIE 2004: 573-582 |
2003 |
20 | | K. Foster,
Tim Hendtlass:
Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System.
HIS 2003: 361-370 |
19 | EE | Tim Hendtlass:
Preserving Diversity in Particle Swarm Optimisation.
IEA/AIE 2003: 31-40 |
18 | EE | Hans Pierrot,
Tim Hendtlass:
Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data.
IEA/AIE 2003: 337-347 |
17 | EE | Mehrdad Salami,
Tim Hendtlass:
A fast evaluation strategy for evolutionary algorithms.
Appl. Soft Comput. 2(3): 156-173 (2003) |
2002 |
16 | | 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
Springer 2002 |
15 | EE | David Braendler,
Tim Hendtlass:
The Suitability of Particle Swarm Optimisation for Training Neural Hardware.
IEA/AIE 2002: 190-199 |
14 | EE | Tim Hendtlass,
Gerard Murray:
The Macronet Element: A Substitute for the Conventional Neuron.
IEA/AIE 2002: 211-219 |
13 | EE | Mehrdad Salami,
Tim Hendtlass:
A Fast Evolutionary Algorithm for Image Compression in Hardware.
IEA/AIE 2002: 241-252 |
12 | EE | Mehrdad Salami,
Tim Hendtlass:
A Fitness Estimation Strategy for Genetic Algorithms.
IEA/AIE 2002: 502-513 |
11 | EE | Daniel Angus,
Tim Hendtlass:
Ant Colony Optimisation Applied to a Dynamically Changing Problem.
IEA/AIE 2002: 618-627 |
2001 |
10 | EE | Tim Hendtlass:
A Combined Swarm Differential Evolution Algorithm for Optimization Problems.
IEA/AIE 2001: 11-18 |
9 | EE | Gerard Murray,
Tim Hendtlass:
Enhanced Artificial Neurons for Network Applications.
IEA/AIE 2001: 281-289 |
8 | EE | Clinton Woodward,
Tim Hendtlass:
Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms.
IEA/AIE 2001: 374-382 |
2000 |
7 | EE | Tim Hendtlass:
SOMulANT: Organizing Information Using Multiple Agents.
IEA/AIE 2000: 322-327 |
1999 |
6 | | Gerard Murray,
Tim Hendtlass,
John R. Podlena:
The Parallel Path Artificial Micronet.
IEA/AIE 1999: 111-117 |
1998 |
5 | | David Philpot,
Tim Hendtlass:
Ensembles of Neural Networks for Analogue Problems.
IEA/AIE (Vol. 1) 1998: 625-631 |
4 | | Howard Copeland,
Tim Hendtlass:
An Evolutionary Algorithm with a Genetic Encoding Scheme.
IEA/AIE (Vol. 1) 1998: 632-639 |
3 | | Tim Hendtlass:
Generating Lookup Tables Using Evolutionary Algorithms.
IEA/AIE (Vol. 1) 1998: 640-646 |
2 | | John R. Podlena,
Tim Hendtlass:
An Accelerated Genetic Algorithm.
Appl. Intell. 8(2): 103-111 (1998) |
1995 |
1 | EE | 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 |