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Jano I. van Hemert Vis

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*2009
39EELiangxiu Han, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson: Automating Gene Expression Annotation for Mouse Embryo. ADMA 2009: 469-478
38EEJano I. van Hemert, Johannes A. La Poutré: Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation. Bio-inspired Algorithms for the Vehicle Routing Problem 2009: 131-149
37EETom Lenaerts, Anne Defaweux, Jano I. van Hemert: The Evolutionary Transition Algorithm: Evolving Complex Solutions Out of Simpler Ones. Nature-Inspired Algorithms for Optimisation 2009: 103-131
36EEAdam Barker, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson: An e-Infrastructure for Collaborative Research in Human Embryo Development CoRR abs/0901.2310: (2009)
2008
35 Carlos Cotta, Jano I. van Hemert: Recent Advances in Evolutionary Computation for Combinatorial Optimization Springer 2008
34 Jano I. van Hemert, Carlos Cotta: Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008. Proceedings Springer 2008
33EEJano I. van Hemert, Richard A. Baldock: Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns. BIRD 2008: 347-361
32EEAdam Barker, Jon B. Weissman, Jano I. van Hemert: Orchestrating Data-Centric Workflows. CCGRID 2008: 210-217
31EEIstván Juhos, Jano I. van Hemert: Graph Colouring Heuristics Guided by Higher Order Graph Properties. EvoCOP 2008: 97-109
30EEAdam Barker, Jon B. Weissman, Jano I. van Hemert: Eliminating the middleman: peer-to-peer dataflow. HPDC 2008: 55-64
29EEIstván Juhos, Jano I. van Hemert: Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 167-184
2007
28 Carlos Cotta, Jano I. van Hemert: Evolutionary Computation in Combinatorial Optimization, 7th European Conference, EvoCOP 2007, Valencia, Spain, April 11-13, 2007, Proceedings Springer 2007
27EEJano I. van Hemert, Richard A. Baldock: Mining Spatial Gene Expression Data for Association Rules. BIRD 2007: 66-76
26EEAdam Barker, Jano I. van Hemert: Scientific Workflow: A Survey and Research Directions. PPAM 2007: 746-753
2006
25EEIstván Juhos, Jano I. van Hemert: Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation. EvoCOP 2006: 123-134
24EEMartin Gruber, Jano I. van Hemert, Günther R. Raidl: Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO. GECCO 2006: 1187-1194
23EEJano I. van Hemert: Evolving Combinatorial Problem Instances That Are Difficult to Solve. Evolutionary Computation 14(4): 433-462 (2006)
22EEIstván Juhos, Jano I. van Hemert: Increasing the Efficiency of Graph Colouring Algorithms with a Representation Based on Vector Operations. JSW 1(2): 24-33 (2006)
2005
21 Maarten Keijzer, Andrea Tettamanzi, Pierre Collet, Jano I. van Hemert, Marco Tomassini: Genetic Programming, 8th European Conference, EuroGP2005, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings Springer 2005
20EEAnne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent: Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. Congress on Evolutionary Computation 2005: 2174-2181
19EEAnne Defaweux, Tom Lenaerts, Jano I. van Hemert: Evolutionary Transitions as a Metaphor for Evolutionary Optimisation. ECAL 2005: 342-352
18EEJano I. van Hemert: Property Analysis of Symmetric Travelling Salesman Problem Instances Acquired Through Evolution. EvoCOP 2005: 122-131
17EEIstván Juhos, Attila Tóth, Jano I. van Hemert: Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring. EvoCOP 2005: 132-143
16EEAnne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent: Transition models as an incremental approach for problem solving in evolutionary algorithms. GECCO 2005: 599-606
15EEJano I. van Hemert: Property analysis of symmetric travelling salesman problem instances acquired through evolution CoRR abs/cs/0502096: (2005)
2004
14EEJano I. van Hemert, Christine Solnon: A Study into Ant Colony Optimisation, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems. EvoCOP 2004: 114-123
13EEIstván Juhos, Attila Tóth, Jano I. van Hemert: Binary Merge Model Representation of the Graph Colouring Problem. EvoCOP 2004: 124-134
12EEJano I. van Hemert, Neil Urquhart: Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. PPSN 2004: 151-160
11EEJano I. van Hemert, Johannes A. La Poutré: Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation. PPSN 2004: 692-701
10EEJano I. van Hemert, Thomas Bäck: Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems. J. Heuristics 10(6): 629-640 (2004)
2003
9 Bart G. W. Craenen, A. E. Eiben, Jano I. van Hemert: Comparing evolutionary algorithms on binary constraint satisfaction problems. IEEE Trans. Evolutionary Computation 7(5): 424-444 (2003)
2002
8EEJano I. van Hemert: Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation. EvoWorkshops 2002: 82-91
7EEJano I. van Hemert, Thomas Bäck: Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction. PPSN 2002: 23-32
2001
6EEJeroen Eggermont, Jano I. van Hemert: Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems. EuroGP 2001: 23-35
1999
5EEJeroen Eggermont, A. E. Eiben, Jano I. van Hemert: Adapting the Fitness Function in GP for Data Mining. EuroGP 1999: 193-202
4 A. E. Eiben, D. Elia, Jano I. van Hemert: Population dynamics and emerging mental features in AEGIS. GECCO 1999: 1257-1264
3EEJeroen Eggermont, A. E. Eiben, Jano I. van Hemert: A Comparison of Genetic Programming Variants for Data Classification. IDA 1999: 281-290
1998
2EEA. E. Eiben, Jano I. van Hemert, Elena Marchiori, Adri G. Steenbeek: Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function. PPSN 1998: 201-210
1 A. E. Eiben, J. K. van der Hauw, Jano I. van Hemert: Graph Coloring with Adaptive Evolutionary Algorithms. J. Heuristics 4(1): 25-46 (1998)

Coauthor Index

1Malcolm P. Atkinson [36] [39]
2Thomas Bäck [7] [10]
3Richard A. Baldock [27] [33] [36] [39]
4Adam Barker [26] [30] [32] [36]
5Pierre Collet [21]
6Carlos Cotta [28] [34] [35]
7Bart G. W. Craenen [9]
8Anne Defaweux [16] [19] [20] [37]
9Jeroen Eggermont [3] [5] [6]
10A. E. Eiben (Ágoston E. Eiben, Guszti Eiben) [1] [2] [3] [4] [5] [9]
11D. Elia [4]
12Martin Gruber [24]
13Liangxiu Han [39]
14J. K. van der Hauw [1]
15István Juhos [13] [17] [22] [25] [29] [31]
16Maarten Keijzer [21]
17Tom Lenaerts [16] [19] [20] [37]
18Elena Marchiori [2]
19Johan Parent [16] [20]
20Johannes A. La Poutré (Han La Poutré) [11] [38]
21Günther R. Raidl [24]
22Christine Solnon [14]
23Adri G. Steenbeek [2]
24Andrea Tettamanzi [21]
25Marco Tomassini [21]
26Attila Tóth [13] [17]
27Neil Urquhart [12]
28Jon B. Weissman [30] [32]

Colors in the list of coauthors

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