Martin Middendorf
Martin Middendorf
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Cited by
Cited by
MITOS: Improved de novo metazoan mitochondrial genome annotation
M Bernt, A Donath, F Jühling, F Externbrink, C Florentz, G Fritzsch, J Pütz, ...
Molecular Phylogenetics and Evolution 69 (2), 313-319, 2013
Ant colony optimization for resource-constrained project scheduling
D Merkle, M Middendorf, H Schmeck
IEEE Transactions on Evolutionary Computation 6 (4), 333-346, 2002
A hierarchical particle swarm optimizer and its adaptive variant
S Janson, M Middendorf
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005
Bi-criterion optimization with multi colony ant algorithms
S Iredi, D Merkle, M Middendorf
International Conference on Evolutionary Multi-Criterion Optimization, 359-372, 2001
Manhattan channel routing is NP-complete under truly restricted settings
M Middendorf
Chicago Journal of Theoretical Computer Science 1996 (2), 1-19, 1996
Multi colony ant algorithms
M Middendorf, F Reischle, H Schmeck
Journal of Heuristics 8 (3), 305-320, 2002
A population based approach for ACO
M Guntsch, M Middendorf
Workshops on applications of evolutionary computation, 72-81, 2002
Applying population based ACO to dynamic optimization problems
M Guntsch, M Middendorf
International Workshop on Ant Algorithms, 111-122, 2002
Pheromone modification strategies for ant algorithms applied to dynamic TSP
M Guntsch, M Middendorf
Workshops on applications of evolutionary computation, 213-222, 2001
Guest editorial special section on ant colony optimization
IEEE Transactions on Evolutionary Computation 6 (4), 317, 2002
CREx: inferring genomic rearrangements based on common intervals
M Bernt, D Merkle, K Ramsch, G Fritzsch, M Perseke, D Bernhard, ...
Bioinformatics 23 (21), 2957-2958, 2007
An ant algorithm with a new pheromone evaluation rule for total tardiness problems
D Merkle, M Middendorf
Workshops on Real-World Applications of Evolutionary Computation, 290-299, 2000
An island model based ant system with lookahead for the shortest supersequence problem
R Michel, M Middendorf
International conference on parallel problem solving from nature, 692-701, 1998
Waiting strategies for dynamic vehicle routing
J Branke, M Middendorf, G Noeth, M Dessouky
Transportation Science 39 (3), 298-312, 2005
Dynamic scheduling of tasks on partially reconfigurable FPGAs
O Diessel, H ElGindy, M Middendorf, H Schmeck, B Schmidt
IEE Proceedings-Computers and Digital Techniques 147 (3), 181-188, 2000
An ant colony optimization approach to dynamic TSP
M Guntsch, M Middendorf, H Schmeck
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2001
Improved systematic tRNA gene annotation allows new insights into the evolution of mitochondrial tRNA structures and into the mechanisms of mitochondrial genome rearrangements
F Jühling, J Pütz, M Bernt, A Donath, M Middendorf, C Florentz, PF Stadler
Nucleic Acids Research 40 (7), 2833-2845, 2012
A comprehensive analysis of bilaterian mitochondrial genomes and phylogeny
M Bernt, C Bleidorn, A Braband, J Dambach, A Donath, G Fritzsch, ...
Molecular Phylogenetics and Evolution 69 (2), 352-364, 2013
Molecular docking with multi-objective particle swarm optimization
S Janson, D Merkle, M Middendorf
Applied Soft Computing 8 (1), 666-675, 2008
A hierarchical particle swarm optimizer for dynamic optimization problems
S Janson, M Middendorf
Workshops on Applications of Evolutionary Computation, 513-524, 2004
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