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Tim Hendtlass Vis

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*2008
47EEXiaodong 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
46EEDavid Howden, Tim Hendtlass: Collective intelligence and bush fire spotting. GECCO 2008: 41-48
45EEBen Prime, Tim Hendtlass: An evolutionary reincarnation algorithm. IEEE Congress on Evolutionary Computation 2008: 737-743
44EETim Hendtlass, Marcus Randall: Extremal Optimisation and Bin Packing. SEAL 2008: 220-228
43EETim Hendtlass: The Particle Swarm Algorithm. Computational Intelligence: A Compendium 2008: 1029-1062
42EEJames Montgomery, Marcus Randall, Tim Hendtlass: Solution bias in ant colony optimisation: Lessons for selecting pheromone models. Computers & OR 35(9): 2728-2749 (2008)
2007
41EEBen Prime, Tim Hendtlass: Mechanisms for Evolutionary Reincarnation. ACAL 2007: 245-256
40EEIrene Moser, Tim Hendtlass: A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. IEEE Congress on Evolutionary Computation 2007: 252-259
39EETim Hendtlass: Fitness estimation and the particle swarm optimisation algorithm. IEEE Congress on Evolutionary Computation 2007: 4266-4272
2006
38EEIrene Moser, Tim Hendtlass: On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics. IEA/AIE 2006: 292-301
37EETim Hendtlass, Irene Moser, Marcus Randall: Dynamic Problems and Nature Inspired Meta-Heuristics. e-Science 2006: 111
36EETim Hendtlass: Waves of Swarm Particles (WoSP). Swarm Intelligent Systems 2006: 27-58
35EEHans Pierrot, Tim Hendtlass: Using a modified counter-propagation algorithm to classify conjoined data. Appl. Intell. 24(3): 241-251 (2006)
2005
34EETim Hendtlass: WoSP: a multi-optima particle swarm algorithm. Congress on Evolutionary Computation 2005: 727-734
33EEJames Montgomery, Marcus Randall, Tim Hendtlass: Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems. IEA/AIE 2005: 218-228
32EEDaniel Angus, Tim Hendtlass: Dynamic Ant Colony Optimisation. Appl. Intell. 23(1): 33-38 (2005)
31EETim Hendtlass: Developments in Applied Artificial Intelligence: Guest Editor's Introduction. Appl. Intell. 23(1): 7-8 (2005)
30EEJames Montgomery, Marcus Randall, Tim Hendtlass: Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization. Artificial Life 11(3): 269-291 (2005)
29EEMehrdad Salami, Tim Hendtlass: The Fast Evaluation Strategy for Evolvable Hardware. Genetic Programming and Evolvable Machines 6(2): 139-162 (2005)
2004
28EEJames Montgomery, Marcus Randall, Tim Hendtlass: Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation. ANTS Workshop 2004: 390-397
27EEBelinda Choi, Tim Hendtlass, Kevin Bluff: A Comparison of Neural Network Input Vector Selection Techniques. IEA/AIE 2004: 1-10
26EETim Hendtlass: TSP Optimisation Using Multi Tour Ants. IEA/AIE 2004: 523-532
25EEBen Prime, Tim Hendtlass: Evolutionary Computation Using Island Populations in Time. IEA/AIE 2004: 573-582
2003
24 K. Foster, Tim Hendtlass: Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System. HIS 2003: 361-370
23EETim Hendtlass: Preserving Diversity in Particle Swarm Optimisation. IEA/AIE 2003: 31-40
22EEHans Pierrot, Tim Hendtlass: Using a Modified Counter-Propagation Algorithm to Classify Conjoint Data. IEA/AIE 2003: 337-347
21EEMehrdad Salami, Tim Hendtlass: A fast evaluation strategy for evolutionary algorithms. Appl. Soft Comput. 2(3): 156-173 (2003)
2002
20 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
19EEDavid Braendler, Tim Hendtlass: The Suitability of Particle Swarm Optimisation for Training Neural Hardware. IEA/AIE 2002: 190-199
18EETim Hendtlass, Gerard Murray: The Macronet Element: A Substitute for the Conventional Neuron. IEA/AIE 2002: 211-219
17EEMehrdad Salami, Tim Hendtlass: A Fast Evolutionary Algorithm for Image Compression in Hardware. IEA/AIE 2002: 241-252
16EEMehrdad Salami, Tim Hendtlass: A Fitness Estimation Strategy for Genetic Algorithms. IEA/AIE 2002: 502-513
15EEDaniel Angus, Tim Hendtlass: Ant Colony Optimisation Applied to a Dynamically Changing Problem. IEA/AIE 2002: 618-627
2001
14EETim Hendtlass: A Combined Swarm Differential Evolution Algorithm for Optimization Problems. IEA/AIE 2001: 11-18
13EEGerard Murray, Tim Hendtlass: Enhanced Artificial Neurons for Network Applications. IEA/AIE 2001: 281-289
12EEClinton Woodward, Tim Hendtlass: Dynamic Trait Expression for Multiploid Individuals of Evolutionary Algorithms. IEA/AIE 2001: 374-382
2000
11EETim Hendtlass: SOMulANT: Organizing Information Using Multiple Agents. IEA/AIE 2000: 322-327
1999
10 Gerard Murray, Tim Hendtlass, John R. Podlena: The Parallel Path Artificial Micronet. IEA/AIE 1999: 111-117
1998
9 David Philpot, Tim Hendtlass: Ensembles of Neural Networks for Analogue Problems. IEA/AIE (Vol. 1) 1998: 625-631
8 Howard Copeland, Tim Hendtlass: An Evolutionary Algorithm with a Genetic Encoding Scheme. IEA/AIE (Vol. 1) 1998: 632-639
7 Tim Hendtlass: Generating Lookup Tables Using Evolutionary Algorithms. IEA/AIE (Vol. 1) 1998: 640-646
6 John R. Podlena, Tim Hendtlass: An Accelerated Genetic Algorithm. Appl. Intell. 8(2): 103-111 (1998)
1996
5 John R. Podlena, Tim Hendtlass: Using The Baldwin Effect to Accelerate A Genetic Algorithm. IEA/AIE 1996: 253-260
4 Tim Hendtlass: An Evolutionary Algorithm for The Generation of Unsupervised Self Organizing Neural Nets. IEA/AIE 1996: 537-542
3 David Philpot, Tim Hendtlass: A Cascade of Neural Networks for Complex Classification. IEA/AIE 1996: 791
2 Howard Copeland, Tim Hendtlass: Better Neurons for Biological Simulations. IEA/AIE 1996: 795
1995
1EEJohn 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

Coauthor Index

1Hussein A. Abbass [47]
2Moonis Ali [20]
3Daniel Angus [15] [32]
4Kevin Bluff [27]
5David Braendler [19]
6Jürgen Branke [47]
7Belinda Choi [27]
8Victor Ciesielski [47]
9Howard Copeland [2] [8]
10Kalyanmoy Deb [47]
11K. Foster [24]
12David G. Green [47]
13David Howden [46]
14Michael Kirley [47]
15Xiaodong Li [47]
16Zbigniew Michalewicz [47]
17James Montgomery [28] [30] [33] [42]
18Irene Moser [37] [38] [40]
19Gerard Murray [10] [13] [18]
20David Philpot [3] [9]
21Hans Pierrot [22] [35]
22John R. Podlena [1] [5] [6] [10]
23Ben Prime [25] [41] [45]
24Marcus Randall [28] [30] [33] [37] [42] [44]
25Mehrdad Salami [16] [17] [21] [29]
26Yuhui Shi [47]
27Kay Chen Tan [47]
28Clinton Woodward [12]
29Mengjie Zhang [47]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)