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Martin Middendorf

Martin Middendorf

D-Index & Metrics

Computer Science

D-Index
46
Citations
15254
World Ranking
6676
National Ranking
317

Overview

Martin Middendorf is affiliated with Leipzig University in Germany. Their research spans multiple scientific fields, primarily focusing on Biochemistry, Genetics and Molecular Biology as well as Engineering. Within these broad areas, Middendorf's work delves into subfields such as Industrial and Manufacturing Engineering, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, and Artificial Intelligence.

Their research interests are reflected in diverse main topics including:

  • Insect and Arachnid Ecology and Behavior
  • Plant and animal studies
  • Vehicle Routing Optimization Methods
  • Insect and Pesticide Research
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Metaheuristic Optimization Algorithms Research

Middendorf has published research in several venues, with a frequent presence in the following journals and platforms:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • IEEE Transactions on Cybernetics

Notable recent papers include:

  • "Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process" (2021) published in IEEE Transactions on Cybernetics
  • "A Hybrid Swarm Intelligence Algorithm for Vehicle Routing Problem With Time Windows" (2020) published in IEEE Access
  • "Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks" (2020) published in eLife
  • "Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior" (2023) published in Scientific Reports
  • "Automated monitoring of animal behaviour with barcodes and convolutional neural networks" (2020) published in bioRxiv (Cold Spring Harbor Laboratory)

Middendorf often collaborates with a core group of co-authors, including:

  • Matthias Bernt
  • Lisa Fiedler
  • Beryl M. Jones
  • Tim Gernat
  • Tobias Jagla

Best Publications

  • MITOS: Improved de novo metazoan mitochondrial genome annotation

    Matthias Bernt;Alexander Donath;Frank Jühling;Frank Jühling;Fabian Externbrink

  • Ant colony optimization for resource-constrained project scheduling

    D. Merkle;M. Middendorf;H. Schmeck

  • Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomes

    Alexander Donath;Frank Jühling;Frank Jühling;Marwa Al-Arab;Marwa Al-Arab;Stephan H Bernhart

  • A hierarchical particle swarm optimizer and its adaptive variant

    S. Janson;M. Middendorf

  • CREx: inferring genomic rearrangements based on common intervals.

    Matthias Bernt;Daniel Merkle;Kai Ramsch;Guido Fritzsch

  • Bi-Criterion Optimization with Multi Colony Ant Algorithms

    Steffen Iredi;Daniel Merkle;Martin Middendorf

  • Improved systematic tRNA gene annotation allows new insights into the evolution of mitochondrial tRNA structures and into the mechanisms of mitochondrial genome rearrangements

    Frank Jühling;Joern Pütz;Matthias Bernt;Alexander Donath

  • A Population Based Approach for ACO

    Michael Guntsch;Martin Middendorf

  • Multi Colony Ant Algorithms

    Martin Middendorf;Frank Reischle;Hartmut Schmeck

  • Applying Population Based ACO to Dynamic Optimization Problems

    Michael Guntsch;Martin Middendorf

  • Pheromone Modification Strategies for Ant Algorithms Applied to Dynamic TSP

    Michael Guntsch;Martin Middendorf

  • Guest editorial: special section on ant colony optimization

    M. Dorigo;L.M. Gambardella;M. Middendorf;T. Stutzle

  • An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems

    Daniel Merkle;Martin Middendorf

  • An Island Model Based Ant System with Lookahead for the Shortest Supersequence Problem

    René Michel;Martin Middendorf

  • Waiting Strategies for Dynamic Vehicle Routing

    Jürgen Branke;Martin Middendorf;Guntram Noeth;Maged Dessouky

  • Dynamic scheduling of tasks on partially reconfigurable FPGAs

    O. Diessel;H. ElGindy;M. Middendorf;H. Schmeck

  • An Ant Colony Optimization approach to dynamic TSP

    Michael Guntsch;Martin Middendorf;Hartmut Schmeck

  • Molecular docking with multi-objective Particle Swarm Optimization

    Stefan Janson;Daniel Merkle;Martin Middendorf

  • Performance evaluation of artificial bee colony optimization and new selection schemes

    Konrad Diwold;Andrej Aderhold;Alexander Scheidler;Martin Middendorf

  • Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks.

    Tim Gernat;Vikyath D. Rao;Martin Middendorf;Harry Dankowicz

  • An ACO algorithm for the shortest common supersequence problem

    René Michel;Martin Middendorf

Frequent Co-Authors

Hartmut Schmeck
Hartmut Schmeck Karlsruhe Institute of Technology
Peter F. Stadler
Peter F. Stadler Leipzig University
Gerik Scheuermann
Gerik Scheuermann Leipzig University
Christian Blum
Christian Blum Spanish National Research Council
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Jürgen Branke
Jürgen Branke University of Warwick
Saurabh Sinha
Saurabh Sinha University of Illinois at Urbana-Champaign
Yuhui Shi
Yuhui Shi Southern University of Science and Technology

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