Michael Guntsch

Solving Multi-criteria Optimization Problems with Population-Based ACO

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

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..

Solving the Probabilistic TSP with Ant Colony Optimization

Jürgen Branke, Michael Guntsch, J. Branke, 2004 .

FPGA implementation of population-based ant colony optimization

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

Ant Colony Optimization

Jürgen Branke, Michael Guntsch, J. Branke, 2005, Handbook of Bioinspired Algorithms and Applications.

An Ant Colony Optimization approach to dynamic TSP

Hartmut Schmeck, Martin Middendorf, Michael Guntsch, 2001 .

Pheromone Modification Strategies for Ant Algorithms Applied to Dynamic TSP

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

Applying Population Based ACO to Dynamic Optimization Problems

Michael Guntsch, Martin Middendorf, M. Middendorf, 2002, Ant Algorithms.

A Population Based Approach for ACO

Martin Middendorf, Michael Guntsch, M. Middendorf, 2002, EvoWorkshops.

New Ideas for Applying Ant Colony Optimization to the Probabilistic TSP

Jürgen Branke, Michael Guntsch, J. Branke, 2003, EvoWorkshops.