Martin Middendorf
Martin Middendorf
Professor of Swarm Intelligence and Complex Systems, University of Leipzig
Verified email at - Homepage
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
Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomes
A Donath, F Jühling, M Al-Arab, SH Bernhart, F Reinhardt, PF Stadler, ...
Nucleic Acids Research 47 (20), 10543-10552, 2019
Bi-criterion optimization with multi colony ant algorithms
S Iredi, D Merkle, M Middendorf
Evolutionary Multi-Criterion Optimization: First International Conference …, 2001
Manhattan channel routing is NP-complete under truly restricted settings
M Middendorf
Chicago Journal of Theoretical Computer Science 1996 (2), 1-19, 1996
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
A population based approach for ACO
M Guntsch, M Middendorf
Applications of Evolutionary Computing: EvoWorkshops 2002: EvoCOP, EvoIASP …, 2002
Applying population based ACO to dynamic optimization problems
M Guntsch, M Middendorf
Ant Algorithms: Third International Workshop, ANTS 2002 Brussels, Belgium …, 2002
Multi colony ant algorithms
M Middendorf, F Reischle, H Schmeck
Journal of Heuristics 8, 305-320, 2002
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
Pheromone modification strategies for ant algorithms applied to dynamic TSP
M Guntsch, M Middendorf
Workshops on applications of evolutionary computation, 213-222, 2001
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
An ant algorithm with a new pheromone evaluation rule for total tardiness problems
D Merkle, M Middendorf
Real-World Applications of Evolutionary Computing: EvoWorkshops 2000 …, 2000
Waiting strategies for dynamic vehicle routing
J Branke, M Middendorf, G Noeth, M Dessouky
Transportation Science 39 (3), 298-312, 2005
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
An ant colony optimization approach to dynamic TSP
M Guntsch, M Middendorf, H Schmeck
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2001
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
Molecular docking with multi-objective particle swarm optimization
S Janson, D Merkle, M Middendorf
Applied Soft Computing 8 (1), 666-675, 2008
Guest editorial special section on ant colony optimization
IEEE Transactions on Evolutionary Computation 6 (4), 317, 2002
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