Jano I. van Hemert

	2009
42		Liangxiu Han, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson: Automating Gene Expression Annotation for Mouse Embryo. ADMA 2009: 469-478
41		Adam Barker, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson: An E-infrastructure to Support Collaborative Embryo Research. CCGRID 2009: 520-525
40		Jano 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
39		Tom 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
38		Adam Barker, Jon B. Weissman, Jano I. van Hemert: The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. Cluster Computing 12(2): 221-235 (2009)
37		Adam Barker, Jon B. Weissman, Jano I. van Hemert: The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. Cluster Computing 12(2): 237 (2009)
36		Adam 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
33		Jano I. van Hemert, Richard A. Baldock: Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns. BIRD 2008: 347-361
32		Adam Barker, Jon B. Weissman, Jano I. van Hemert: Orchestrating Data-Centric Workflows. CCGRID 2008: 210-217
31		István Juhos, Jano I. van Hemert: Graph Colouring Heuristics Guided by Higher Order Graph Properties. EvoCOP 2008: 97-109
30		Adam Barker, Jon B. Weissman, Jano I. van Hemert: Eliminating the middleman: peer-to-peer dataflow. HPDC 2008: 55-64
29		István 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
27		Jano I. van Hemert, Richard A. Baldock: Mining Spatial Gene Expression Data for Association Rules. BIRD 2007: 66-76
26		Adam Barker, Jano I. van Hemert: Scientific Workflow: A Survey and Research Directions. PPAM 2007: 746-753
	2006
25		István Juhos, Jano I. van Hemert: Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation. EvoCOP 2006: 123-134
24		Martin 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
23		Jano I. van Hemert: Evolving Combinatorial Problem Instances That Are Difficult to Solve. Evolutionary Computation 14(4): 433-462 (2006)
22		István 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
20		Anne 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
19		Anne Defaweux, Tom Lenaerts, Jano I. van Hemert: Evolutionary Transitions as a Metaphor for Evolutionary Optimisation. ECAL 2005: 342-352
18		Jano I. van Hemert: Property Analysis of Symmetric Travelling Salesman Problem Instances Acquired Through Evolution. EvoCOP 2005: 122-131
17		István Juhos, Attila Tóth, Jano I. van Hemert: Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring. EvoCOP 2005: 132-143
16		Anne 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
15		Jano I. van Hemert: Property analysis of symmetric travelling salesman problem instances acquired through evolution CoRR abs/cs/0502096: (2005)
	2004
14		Jano 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
13		István Juhos, Attila Tóth, Jano I. van Hemert: Binary Merge Model Representation of the Graph Colouring Problem. EvoCOP 2004: 124-134
12		Jano I. van Hemert, Neil Urquhart: Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. PPSN 2004: 151-160
11		Jano I. van Hemert, Johannes A. La Poutré: Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation. PPSN 2004: 692-701
10		Jano 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
8		Jano I. van Hemert: Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation. EvoWorkshops 2002: 82-91
7		Jano I. van Hemert, Thomas Bäck: Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction. PPSN 2002: 23-32
	2001
6		Jeroen Eggermont, Jano I. van Hemert: Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems. EuroGP 2001: 23-35
	1999
5		Jeroen 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
3		Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert: A Comparison of Genetic Programming Variants for Data Classification. IDA 1999: 281-290
	1998
2		A. 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

1	Malcolm P. Atkinson	[36] [41] [42]
2	Thomas Bäck	[7] [10]
3	Richard A. Baldock	[27] [33] [36] [41] [42]
4	Adam Barker	[26] [30] [32] [36] [37] [38] [41]
5	Pierre Collet	[21]
6	Carlos Cotta	[28] [34] [35]
7	Bart G. W. Craenen	[9]
8	Anne Defaweux	[16] [19] [20] [39]
9	Jeroen Eggermont	[3] [5] [6]
10	A. E. Eiben (Ágoston E. Eiben, Guszti Eiben)	[1] [2] [3] [4] [5] [9]
11	D. Elia	[4]
12	Martin Gruber	[24]
13	Liangxiu Han	[42]
14	J. K. van der Hauw	[1]
15	István Juhos	[13] [17] [22] [25] [29] [31]
16	Maarten Keijzer	[21]
17	Tom Lenaerts	[16] [19] [20] [39]
18	Elena Marchiori	[2]
19	Johan Parent	[16] [20]
20	Johannes A. La Poutré (Han La Poutré)	[11] [40]
21	Günther R. Raidl	[24]
22	Christine Solnon	[14]
23	Adri G. Steenbeek	[2]
24	Andrea Tettamanzi	[21]
25	Marco Tomassini	[21]
26	Attila Tóth	[13] [17]
27	Neil Urquhart	[12]
28	Jon B. Weissman	[30] [32] [37] [38]

Colors in the list of coauthors