Martin Middendorf

Daniel Merkle, Martin Middendorf, Marc Hellmuth, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

Maximal Common Subsequences and Minimal Common Supersequences

Martin Middendorf, Robert W. Irving, Campbell Fraser, 1996, Inf. Comput..

Scheduling Inverse Trees Under the Communication Model of the LogP-Machine

Welf Löwe, Martin Middendorf, Wolf Zimmermann, 1999, Theor. Comput. Sci..

On Optimal k-linear Scheduling of Tree-Like Graphs for LogP-Machines

Welf Löwe, Martin Middendorf, Wolf Zimmermann, 1998, Euro-Par.

Waiting Strategies for Dynamic Vehicle Routing

Jürgen Branke, Martin Middendorf, Maged M. Dessouky, 2005, Transp. Sci..

Task Rearrangement on Partially Reconfigurable FPGAs with Restricted Buffer

Hartmut Schmeck, Martin Middendorf, Bernd Schmidt, 2000, FPL.

On Weighting Schemes for Gene Order Analysis

Matthias Bernt, Martin Middendorf, Nicolas Wieseke, 2013, GCB.

Bi-Criterion Optimization with Multi Colony Ant Algorithms

Daniel Merkle, Martin Middendorf, Steffen Iredi, 2001, EMO.

A hierarchical particle swarm optimizer and its adaptive variant

Martin Middendorf, Stefan Janson, M. Middendorf, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Performance evaluation of artificial bee colony optimization and new selection schemes

Martin Middendorf, Alexander Scheidler, Konrad Diwold, 2011, Memetic Comput..

Pheromone evaluation in Ant Colony Optimization

Hartmut Schmeck, Daniel Merkle, Martin Middendorf, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Multi-level reconfigurable architectures in the switch model

Martin Middendorf, Sebastian Lange, 2006, IPDPS.

A parameter-adaptive dynamic programming approach for inferring cophylogenies

Daniel Merkle, Martin Middendorf, Nicolas Wieseke, 2010, BMC Bioinformatics.

Genome Rearrangement with ILP

Roded Sharan, Matthias Bernt, Martin Middendorf, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Cache Architectures for Reconfigurable Hardware

Martin Middendorf, Sebastian Lange, 2006, ERSA.

Dynamic Polyethism and Competition for Tasks in Threshold Reinforcement Models of Social Insects

Daniel Merkle, Martin Middendorf, M. Middendorf, 2004, Adapt. Behav..

Quick-ACO: Accelerating Ant Decisions and Pheromone Updates in ACO

Bernd Scheuermann, Wei Cheng, Martin Middendorf, 2011, EvoCOP.

A Simulator for the Reconfigurable Mesh Architecture

Hartmut Schmeck, Martin Middendorf, Hossam A. ElGindy, 1998, IPPS/SPDP Workshops.

Self-organized cooperation between agents that have to solve resource collection tasks

Martin Middendorf, Ruby L. V. Moritz, M. Middendorf, 2013, 2013 IEEE Symposium on Swarm Intelligence (SIS).

Special Section on Ant Colony Optimization

Thomas Stützle, Luca Maria Gambardella, Marco Dorigo, 2002 .

Evolutionary Inheritance Mechanisms for Multi-criteriaDecision Making in Multi-agent Systems

Martin Middendorf, Ruby L. V. Moritz, 2015, GECCO.

On the Approximation of Finding Various Minimal, Maximal, and Consistent Sequences

Martin Middendorf, M. Middendorf, 1994, ISAAC.

Applications of Evolutionary Computing: Evoworkshops 2003

Elena Marchiori, David Corne, Stefano Cagnoni, 2003 .

Population Based Ant Colony Optimization for Reconstructing ECG Signals

Martin Middendorf, Pei-Yun Tsai, Tom Hartmann, 2016, EvoApplications.

Bit Summation on the Reconfigurable Mesh

Martin Middendorf, 1999, IPPS/SPDP Workshops.

Self-adaptable Group Formation of Reconfigurable Agents in Dynamic Environments

Martin Middendorf, Ruby L. V. Moritz, M. Middendorf, 2013, NICSO.

On Enforced Convergence of ACO and its Implementation on the Reconfigurable Mesh Architecture Using Size Reduction Tasks

Hartmut Schmeck, Daniel Merkle, Martin Middendorf, 2004, The Journal of Supercomputing.

Ant Colony Optimization with the Relative Pheromone Evaluation Method

Daniel Merkle, Martin Middendorf, M. Middendorf, 2002, EvoWorkshops.

Bonding as a swarm: applying bee nest-site selection behaviour to protein docking

Martin Middendorf, René Meier, Konrad Diwold, 2011, GECCO '11.

Self-Organized Task Allocation for Service Tasks in Computing Systems with Reconfigurable Components

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2008, J. Math. Model. Algorithms.

Bee Nest Site Selection as an Optimization Process

Martin Middendorf, Konrad Diwold, Madeleine Beekman, 2010, ALIFE.

An Ant Colony Optimization Application to the Single Machine Total Weighted Tardiness Problem

Matthijs den Besten, Thomas Stützle, Marco Dorigo, 2000 .

Population based ant colony optimization on FPGA

Bernd Scheuermann, Hartmut Schmeck, Martin Middendorf, 2002, 2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings..

Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN

Stefano Cagnoni, Martin Middendorf, Günther R. Raidl, 2002 .

Design Aspects of Multi-level Reconfigurable Architectures

Martin Middendorf, Sebastian Lange, 2008, J. Signal Process. Syst..

Evolutionary Computation in Combinatorial Optimization

Martin Middendorf, Günther R. Raidl, Jens Gottlieb, 2004, Lecture Notes in Computer Science.

Artificial Bee Colony Optimization: A New Selection Scheme and Its Performance

Martin Middendorf, Alexander Scheidler, Konrad Diwold, 2010, NICSO.

A Fast and Exact Algorithm for the Perfect Reversal Median Problem

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2007, ISBRA.

Granularity aspects for the design of multi-level reconfigurable architectures

Martin Middendorf, Sebastian Lange, 2006, 2006 IEEE International Conference on Field Programmable Technology.

Genome Rearrangement Based on Reversals that Preserve Conserved Intervals

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2006, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multiplication of Matrices With Different Sparseness Properties on Dynamically Reconfigurable Meshes

Hartmut Schmeck, Martin Middendorf, Heiko Schröder, 1999, VLSI Design.

Solving Multi-criteria Optimization Problems with Population-Based ACO

Martin Middendorf, Michael Guntsch, M. Middendorf, 2003, EMO.

Solving the Preserving Reversal Median Problem

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2008, IEEE ACM Trans. Comput. Biol. Bioinform..

Visual Analysis of Discrete Particle Swarm Optimization Using Fitness Landscapes

Martin Middendorf, Gerik Scheuermann, Dirk Zeckzer, 2014 .

On Physical Mapping and the Consecutive Ones Property for Sparse Matrices

Martin Middendorf, Jonathan E. Atkins, 1996, Discret. Appl. Math..

Finding all sorting tandem duplication random loss operations

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2009, J. Discrete Algorithms.

An Algorithm for Inferring Mitogenome Rearrangements in a Phylogenetic Tree

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2008, RECOMB-CG.

Using Decentralized Clustering for Task Allocation in Networks with Reconfigurable Helper Units

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2006, IWSOS/EuroNGI.

Preserving Inversion Phylogeny Reconstruction

Matthias Bernt, Martin Middendorf, Kun-Mao Chao, 2012, WABI.

On the Behaviour of ACO Algorithms : Studies on Simple Problems

Daniel Merkle, Martin Middendorf, M. Middendorf, 2001 .

Stability and performance of ant queue inspired task partitioning methods

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2008, Theory in Biosciences.

Counter-Based Ant Colony Optimization as a Hardware-Oriented Meta-heuristic

Bernd Scheuermann, Martin Middendorf, 2005, EvoWorkshops.

Decentralized and dynamic group formation of reconfigurable agents

Martin Middendorf, Ruby L. V. Moritz, M. Middendorf, 2015, Memetic Comput..

Phylogenomics with paralogs

Martin Middendorf, Hans-Peter Lenhof, Peter F. Stadler, 2015, Proceedings of the National Academy of Sciences.

CREx: inferring genomic rearrangements based on common intervals

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2007, Bioinform..

Simple Probabilistic Population-Based Optimization

Martin Middendorf, Martin Clauß, Ying-Chi Lin, 2016, IEEE Transactions on Evolutionary Computation.

Annotation guided local similarity search in multiple sequences and its application to mitochondrial genomes

Matthias Bernt, Martin Middendorf, Ruby L. V. Moritz, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

Parallel Ant Colony Algorithms

Daniel Merkle, Martin Middendorf, Stefan Janson, 2005 .

Two-Dimensional Partitioning Problems

Martin Middendorf, 1996, Theor. Comput. Sci..

Matrix Multiplication on Processor Arrays with Optical Buses

Martin Middendorf, Hossam A. ElGindy, 1998, Informatica.

Problem Heaps and Their Evaluation

Hartmut Schmeck, Martin Middendorf, Heiko Schröder, 1993, Parallel Process. Lett..

Self-synchronized duty-cycling for mobile sensor networks with energy harvesting capabilities: A swarm intelligence study

Christian Blum, Martin Middendorf, Alexander Scheidler, 2009, 2009 IEEE Swarm Intelligence Symposium.

Evaluation of Ordering Methods for DNA Sequence Design Based on Ant Colony System

Marzuki Khalid, Martin Middendorf, Zuwairie Ibrahim, 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).

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

Martin Middendorf, René Michel, M. Middendorf, 1998, PPSN.

International Journal of Intelligent Computing and Cybernetics A decentralization approach for swarm intelligence algorithms in networks applied to multi swarm PSO

Daniel Merkle, Martin Middendorf, Stefan Janson, 2016 .

An Evolutionary Approach to Dynamic Task Scheduling on FPGAs with Restricted Buffer

Bernd Scheuermann, Hartmut Schmeck, Martin Middendorf, 2002, J. Parallel Distributed Comput..

The Influence of Dynamic Environments on Polyethism in Response Threshold Models for Social Insects

Daniel Merkle, Martin Middendorf, Konrad Diwold, 2009 .

More on the Complexity of Common Superstring and Supersequence Problems

Martin Middendorf, 1994, Theor. Comput. Sci..

T.R. - Applications of Evolutionary Computing

Elena Marchiori, David Corne, Jean-Arcady Meyer, 2003 .

On Trajectories of Particles in PSO

Martin Middendorf, Stefan Janson, M. Middendorf, 2007, 2007 IEEE Swarm Intelligence Symposium.

On Finding Minimal, Maximal, and Consistent Sequences over a Binary Alphabet

Martin Middendorf, 1995, Theor. Comput. Sci..

On scheduling cycle shops: classification, complexity and approximation

Martin Middendorf, Vadim G. Timkovsky, M. Middendorf, 2002 .

Combinatorics of Tandem Duplication Random Loss Mutations on Circular Genomes

Matthias Bernt, Martin Middendorf, Tom Hartmann, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Ant Colony Optimization with Global Pheromone Evaluation for Scheduling a Single Machine

Daniel Merkle, Martin Middendorf, M. Middendorf, 2004, Applied Intelligence.

Decentralized packet clustering in router-based networks

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2005, Int. J. Found. Comput. Sci..

FPGA implementation of population-based ant colony optimization

Bernd Scheuermann, Hartmut Schmeck, Martin Middendorf, 2004, Appl. Soft Comput..

Trophallaxis-inspired self-organized task exchange in heterogeneous swarms

Martin Middendorf, Ruby L. V. Moritz, Kai Ramsch, 2011, 2011 IEEE Symposium on Swarm Intelligence.

Deciding on the wing: in-flight decision making and search space sampling in the red dwarf honeybee Apis florea

Martin Middendorf, Konrad Diwold, Madeleine Beekman, 2011, Swarm Intelligence.

Simple probabilistic population based optimization for combinatorial optimization

Martin Middendorf, Ying-Chi Lin, M. Middendorf, 2013, 2013 IEEE Symposium on Swarm Intelligence (SIS).

Hyperreconfigurable architectures and the partition into hypercontexts problem

Martin Middendorf, Sebastian Lange, 2005, J. Parallel Distributed Comput..

An ant colony optimizer for melody creation with baroque harmony

Martin Middendorf, Michael Geis, M. Middendorf, 2007, 2007 IEEE Congress on Evolutionary Computation.

An Iterated Local Search Algorithm for the Two-Machine Flow Shop Problem with Buffers and Constant Processing Times on One Machine

Martin Middendorf, Hoang Thanh Le, Philine Geser, 2019, EvoCOP.

EqualTDRL: illustrating equivalent tandem duplication random loss rearrangements

Matthias Bernt, Martin Middendorf, Tom Hartmann, 2018, BMC Bioinformatics.

Using median sets for inferring phylogenetic trees

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2007, Bioinform..

Editorial Special Issue: Swarm Intelligence

Andries Petrus Engelbrecht, Luca Maria Gambardella, Xiaodong Li, 2009, IEEE Trans. Evol. Comput..

Reconstruction of the cophylogenetic history of related phylogenetic trees with divergence timing information

Daniel Merkle, Martin Middendorf, M. Middendorf, 2005, Theory in Biosciences.

A Parallel Algorithm for Solving the Reversal Median Problem

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2005, PPAM.

A New Approach to Solve Permutation Scheduling Problems with Ant Colony Optimization

Daniel Merkle, Martin Middendorf, 2001, EvoWorkshops.

09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round)

Nirupam Chakraborti, Nicola Beume, Kalyanmoy Deb, 2009, Hybrid and Robust Approaches to Multiobjective Optimization.

Fast ant colony optimization on reconfigurable processor arrays

Daniel Merkle, Martin Middendorf, 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

A Visual Method for Analysis and Comparison of Search Landscapes

Martin Middendorf, Gerik Scheuermann, Dirk Zeckzer, 2015, GECCO.

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

Martin Middendorf, Harry Dankowicz, Tim Gernat, 2018, Proceedings of the National Academy of Sciences.

Unifying Parsimonious Tree Reconciliation

Matthias Bernt, Martin Middendorf, Nicolas Wieseke, 2013, WABI.

Swarm Controlled Emergence - Designing an Anti-Clustering Ant System

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2007, 2007 IEEE Swarm Intelligence Symposium.

Models and Algorithms for Hyperreconfigurable Hardware

Martin Middendorf, Sebastian Lange, 2010, Dynamically Reconfigurable Systems.

Information Exchange in Multi Colony Ant Algorithms

Hartmut Schmeck, Martin Middendorf, Frank Reischle, 2000, IPDPS Workshops.

Evolved cooperation and emergent communication structures in learning classifier based organic computing systems

Martin Middendorf, Alexander Scheidler, 2009, GECCO '09.

Modelling ACO: Composed Permutation Problems

Daniel Merkle, Martin Middendorf, M. Middendorf, 2002, Ant Algorithms.

Multi-level reconfigurable architectures in the switch model

Martin Middendorf, Sebastian Lange, 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays

Daniel Merkle, Martin Middendorf, M. Middendorf, 2002, Genetic Programming and Evolvable Machines.

Transversal Graphs for Partially Ordered Sets: Sequencing, Merging and Scheduling Problems

Martin Middendorf, Vadim G. Timkovsky, M. Middendorf, 1999, J. Comb. Optim..

Proceedings of ANTS 2000 – From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms

Thomas Stützle, Marco Dorigo, Martin Middendorf, 2000 .

Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization

Christian Blum, Martin Middendorf, 2007 .

Ant Inspired Methods for Organic Computing

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2011, Organic Computing.

Organic Computing and Swarm Intelligence

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2008, Swarm Intelligence.

Ant colony optimization for resource-constrained project scheduling

Hartmut Schmeck, Daniel Merkle, Martin Middendorf, 2000, IEEE Trans. Evol. Comput..

A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations

Matthias Bernt, Martin Middendorf, Ruby L. V. Moritz, 2016, EvoCOP.

Extended shapes for the combinatorial design of RNA sequences

Daniel Merkle, Martin Middendorf, Marc Hellmuth, 2009, Int. J. Comput. Biol. Drug Des..

Finding all sorting tandem duplication random loss operations

Kuan-Yu Chen, Matthias Bernt, Daniel Merkle, 2011, J. Discrete Algorithms.

Pheromone Modification Strategies for Ant Algorithms Applied to Dynamic TSP

Martin Middendorf, Michael Guntsch, M. Middendorf, 2001, EvoWorkshops.

SPP1148 booth: Hyperreconfigurable architectures

Martin Middendorf, Sebastian Lange, 2008, 2008 International Conference on Field Programmable Logic and Applications.

A common interval guided ACO algorithm for permutation problems

Matthias Bernt, Martin Middendorf, Martin Clauß, 2013, 2013 IEEE Symposium on Swarm Intelligence (SIS).

Dynamic Decentralized Packet Clustering in Networks

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2005, EvoWorkshops.

Population based ant colony optimization for reconstructing ECG signals

Martin Middendorf, Pei-Yun Tsai, Tom Hartmann, 2016, Evol. Intell..

Sensor Placement in Water Networks Using a Population-Based Ant Colony Optimization Algorithm

Martin Middendorf, Konrad Diwold, Thomas Ruhnke, 2010, ICCCI.

Self-organized task allocation for computing systems with reconfigurable components

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

Multi Colony Ant Algorithms

Hartmut Schmeck, Martin Middendorf, Frank Reischle, 2002, J. Heuristics.

Hyperreconfigurable Architectures as Flexible Control Systems

Martin Middendorf, Sebastian Lange, 2004, ARCS Workshops.

Marco Dorigo and Thomas Stützle, Ant Colony Optimization, MIT Press (2004) ISBN 0-262-04219-3

Daniel Merkle, Martin Middendorf, 2006, Eur. J. Oper. Res..

Refined ranking relations for multi objective optimization andapplication to P-ACO

Matthias Bernt, Martin Middendorf, Ruby L. V. Moritz, 2013, GECCO '13.

Time-Scattered Heuristic for the Hardware Implementation of Population-Based ACO

Bernd Scheuermann, Hartmut Schmeck, Martin Middendorf, 2004, ANTS Workshop.

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

Daniel Merkle, Martin Middendorf, M. Middendorf, 2000, EvoWorkshops.

Ant colony optimization and its application to adaptive routing in telecommunication networks

Daniel Merkle, Martin Middendorf, F. C. Santos, 2004 .

Models and reconfiguration problems for multi task hyperreconfigurable architectures

Martin Middendorf, Sebastian Lange, 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

Refined ranking relations for selection of solutions in multi objective metaheuristics

Matthias Bernt, Martin Middendorf, Ruby L. V. Moritz, 2015, Eur. J. Oper. Res..

Heuristics for context-caches in 2-level reconfigurable architectures

Martin Middendorf, Sebastian Lange, 2005, Proceedings. 2005 IEEE International Conference on Field-Programmable Technology, 2005..

Comparing the Optimization Behaviour of Heuristics with Topology Based Visualization

Martin Middendorf, Gerik Scheuermann, Simon Bin, 2014, TPNC.

Improved heuristics and a genetic algorithm for finding short supersequences

Jürgen Branke, Martin Middendorf, Frerk Schneider, 1998 .

Adapting to Dynamic Environments: Polyethism in Response Threshold Models for Social Insects

Daniel Merkle, Martin Middendorf, Konrad Diwold, 2009, Adv. Complex Syst..

From Real to Artificial Ants: Second International Workshop on ant algorithms

Thomas Stützle, Marco Dorigo, Martin Middendorf, 2000 .

Sparse Matrix Multiplication on a Reconfigurable Mesh

Hartmut Schmeck, Martin Middendorf, G. Turner, 1995, Aust. Comput. J..

Learning classifier systems to evolve classification rules for systems of memory constrained components

Martin Middendorf, Alexander Scheidler, 2011, Evol. Intell..

An Algorithm for Inferring Mitochondrial Genome Rearrangements in a Phylogenetic Tree

Matthias Bernt, Daniel Merkle, Martin Middendorf, 2008, RECOMB 2008.

Congestion Control in Ant Like Moving Agent Systems

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2008, BICC.

Width-restricted layering of acyclic digraphs with consideration of dummy nodes

Jürgen Branke, Peter Eades, Martin Middendorf, 2002, Inf. Process. Lett..

An ACO algorithm for the shortest common supersequence problem

Martin Middendorf, René Michel, René Michel, 1999 .

A Particle Swarm Optimizer for Finding Minimum Free Energy RNA Secondary Structures

Martin Middendorf, Michael Geis, M. Middendorf, 2007, 2007 IEEE Swarm Intelligence Symposium.

Hyperreconfigurable architectures for fast run time reconfiguration

Martin Middendorf, Sebastian Lange, 2004, 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines.

Shortest Common Superstrings and Scheduling with Coordinated Starting Times

Martin Middendorf, 1998, Theor. Comput. Sci..

Dynamic scheduling of tasks on partially reconfigurable FPGAs

Hossam ElGindy, Hartmut Schmeck, Martin Middendorf, 2000 .

Multi task hyperreconfigurable architectures: models and reconfiguration problems

Martin Middendorf, Sebastian Lange, 2005, Int. J. Embed. Syst..

Hardware-oriented ant colony optimization

Bernd Scheuermann, Martin Middendorf, Stefan Janson, 2007, J. Syst. Archit..

Ant Colony Optimization for Resource-Constrained Projet Scheduling

Hartmut Schmeck, Daniel Merkle, Martin Middendorf, 2000, GECCO.

The Partition into Hypercontexts Problem for Hyperreconfigurable Architectures

Martin Middendorf, Sebastian Lange, 2004, FPL.

Emergent Sorting in Networks of Router Agents

Christian Blum, Daniel Merkle, Martin Middendorf, 2008, ANTS Conference.

Indexed counter languages

Martin Middendorf, Rainer Parchmann, Jürgen Duske, 1992, RAIRO Theor. Informatics Appl..

Evolutionary computation in combinatorial optimization : 12th European Conference, EvoCOP 2012, Málaga, Spain, April 11-13 2012 : proceedings

Jin-Kao Hao, Martin Middendorf, EvoCOP, 2012 .

Self-adaptive Worker-Helper Systems with Self-Organized Task Allocation

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2008, Organic Computing.

An Exact Algorithm for Sorting by Weighted Preserving Genome Rearrangements

Matthias Bernt, Martin Middendorf, Tom Hartmann, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Competition Controlled Pheromone Update for Ant Colony Optimization

Daniel Merkle, Martin Middendorf, 2004, ANTS Workshop.

Guest editorial: special section on ant colony optimization

Thomas Stützle, Luca Maria Gambardella, Marco Dorigo, 2002, IEEE Trans. Evol. Comput..

The Shortest Common Nonsubsequence Problem is NP-Complete

Martin Middendorf, 1993, Theor. Comput. Sci..

Tuning positive feedback for signal detection in noisy dynamic environments.

Martin Middendorf, Kai Ramsch, David J T Sumpter, 2012, Journal of theoretical biology.

Structure and formation of ant transportation networks

Toshiyuki Nakagaki, Martin Middendorf, Kentaro Ito, 2011, Journal of The Royal Society Interface.

Decentralized packet clustering in networks

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

Particle swarm optimization for finding RNA secondary structures

Martin Middendorf, Michael Geis, M. Middendorf, 2011, Int. J. Intell. Comput. Cybern..

Modeling Ant Brood ending Patterns with Cellular Automata

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2006, J. Cell. Autom..

On solving permutation scheduling problems with ant colony optimization

Daniel Merkle, Martin Middendorf, 2005, Int. J. Syst. Sci..

Hierarchical Cellular Genetic Algorithm

Enrique Alba, Martin Middendorf, Bernabé Dorronsoro, 2006, EvoCOP.

Online Strategies for the Reconfiguration of TwoüLevel Reconfigurable Architectures

Martin Middendorf, Sebastian Lange, 2007 .

On the design of two-level reconfigurable architectures

Martin Middendorf, Sebastian Lange, 2005, 2005 International Conference on Reconfigurable Computing and FPGAs (ReConFig'05).

Cophylogenetic Reconciliation with ILP

Matthias Bernt, Martin Middendorf, Nicolas Wieseke, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Perspectives of extending runtime reconfigurable computing to the enterprise application domain

Bernd Scheuermann, Martin Middendorf, 2010, 2010 8th IEEE International Conference on Industrial Informatics.

A Hierarchical Particle Swarm Optimizer for Dynamic Optimization Problems

Martin Middendorf, Stefan Janson, M. Middendorf, 2004, EvoWorkshops.

Manhattan Channel Routing is NP-complete Under Truly Restricted Settings

Martin Middendorf, M. Middendorf, 1996, Chic. J. Theor. Comput. Sci..

The Influence of Correlated Objectives on Different Types of P-ACO Algorithms

Matthias Bernt, Martin Middendorf, Ruby L. V. Moritz, 2014, EvoCOP.

Combined super-/substring and super-/subsequence problems

David Manlove, Martin Middendorf, M. Middendorf, 2004, Theor. Comput. Sci..

Learning from House-Hunting Ants: Collective Decision-Making in Organic Computing Systems

Daniel Merkle, Martin Middendorf, Alexander Scheidler, 2008, ANTS Conference.

Evolutionary Computation in Combinatorial Optimization

Christian Blum, Martin Middendorf, C. Blum, 2015, Lecture Notes in Computer Science.

Iterated Local Search and Other Algorithms for Buffered Two-Machine Permutation Flow Shops with Constant Processing Times on One Machine

Martin Middendorf, Philine Geser, Hoang Thanh Le, 2020, Evolutionary Computation.

Sorting Signed Permutations by Inverse Tandem Duplication Random Losses

Martin Middendorf, Max Bannach, Tom Hartmann, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Improvement Heuristic Based on Variable Neighborhood Search for a Dynamic Orienteering Problem

Martin Middendorf, Hoang Thanh Le, Yuhui Shi, 2021, EvoCOP.

An Ant Colony System for DNA sequence design based on thermodynamics

Marzuki Khalid, Martin Middendorf, Zuwairie Ibrahim, 2008 .

On Optimal k-linear Scheduling of Tree-Like Task Graphs for LogP-Machines

Martin Middendorf, Wolf Zimmermann, .

Genome Rearrangement Analysis: Cut and Join Genome Rearrangements and Gene Cluster Preserving Approaches.

Matthias Bernt, Martin Middendorf, Tom Hartmann, 2018, Methods in molecular biology.

A Hybrid Population based ACO Algorithm for Protein Folding

Daniel Merkle, Martin Middendorf, Torsten Thalheim, 2008 .

Visualizing Topological Properties of the Search Landscape of Combinatorial Optimization Problems

Martin Middendorf, Gerik Scheuermann, Dirk Zeckzer, 2015 .

Bioinformatics methods for the comparative analysis of metazoan mitochondrial genome sequences.

Matthias Bernt, Martin Middendorf, Peter F Stadler, 2013, Molecular phylogenetics and evolution.

Evolutionary computation in combinatorial optimization : 13th European Conference, EvoCOP 2013, Vienna, Austria, April 3-5, 2013 : proceedings

Christian Blum, Martin Middendorf, EvoCOP, 2013 .

Searching for a new home—scouting behavior of honeybee swarms

Martin Middendorf, Stefan Janson, Madeleine Beekman, 2007 .

Special Issue on Aut algorithms

Thomas Stützle, Luca Maria Gambardella, Martin Middendorf, 2002 .

Protein Folding in the HP-Model Solved With a Hybrid Population Based ACO Algorithm

Daniel Merkle, Martin Middendorf, Torsten Thalheim, 2008 .

A comprehensive analysis of bilaterian mitochondrial genomes and phylogeny.

Matthias Bernt, Martin Middendorf, Karen Meusemann, 2013, Molecular phylogenetics and evolution.

A hierarchical particle swarm optimizer

Martin Middendorf, Stefan Janson, M. Middendorf, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Phylogenetic Parameter Estimation on COWs

Daniel Merkle, Martin Middendorf, Arndt von Haeseler, 2005 .

Chapter 14 SWARM INTELLIGENCE

Daniel Merkle, Martin Middendorf, M. Middendorf, 2005 .