Michael Guntsch

According to our database, Michael Guntsch authored at least 11 papers between 2001 and 2005.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2005

Ant Colony Optimization.

Jürgen Branke, Michael Guntsch

Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005

2004

Ant algorithms in stochastic and multi-criteria environments.

Michael Guntsch

PhD thesis, 2004

Solving the Probabilistic TSP with Ant Colony Optimization.

Jürgen Branke, Michael Guntsch

J. Math. Model. Algorithms, 2004

FPGA implementation of population-based ant colony optimization.

Bernd Scheuermann, Keith So, Michael Guntsch, Martin Middendorf, Oliver Diessel, Hossam A. ElGindy, Hartmut Schmeck

Appl. Soft Comput., 2004

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

Bernd Scheuermann, Michael Guntsch, Martin Middendorf, Hartmut Schmeck

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

2003

New Ideas for Applying Ant Colony Optimization to the Probabilistic TSP.

Jürgen Branke, Michael Guntsch

Proceedings of the Applications of Evolutionary Computing, 2003

Solving Multi-criteria Optimization Problems with Population-Based ACO.

Michael Guntsch, Martin Middendorf

Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

2002

Population based ant colony optimization on FPGA.

Michael Guntsch, Martin Middendorf, Bernd Scheuermann, Oliver Diessel, Hossam A. ElGindy, Hartmut Schmeck, Keith So

Proceedings of the 2002 IEEE International Conference on Field-Programmable Technology, 2002

A Population Based Approach for ACO.

Michael Guntsch, Martin Middendorf

Proceedings of the Applications of Evolutionary Computing, 2002

Applying Population Based ACO to Dynamic Optimization Problems.

Michael Guntsch, Martin Middendorf

Proceedings of the Ant Algorithms, Third International Workshop, 2002

2001

Pheromone Modification Strategies for Ant Algorithms Applied to Dynamic TSP.

Michael Guntsch, Martin Middendorf

Proceedings of the Applications of Evolutionary Computing, 2001