Pheromone Modification Strategies for Ant Algorithms Applied to Dynamic TSP. - Michael Guntsch; Martin Middendorf (EvoWorkshops, 2001)

Applying Population Based ACO to Dynamic Optimization Problems. - Michael Guntsch; Martin Middendorf (Ant Algorithms, 2002)

A Population Based Approach for ACO. - Michael Guntsch; Martin Middendorf (EvoWorkshops, 2002)

Population based ant colony optimization on FPGA. - Michael Guntsch; Martin Middendorf; Bernd Scheuermann; Oliver Diessel; Hossam A. ElGindy; Hartmut Schmeck; Keith So (FPT, 2002)

Solving Multi-criteria Optimization Problems with Population-Based ACO. - Michael Guntsch; Martin Middendorf (EMO, 2003)

New Ideas for Applying Ant Colony Optimization to the Probabilistic TSP. - Jürgen Branke; Michael Guntsch (EvoWorkshops, 2003)

Time-Scattered Heuristic for the Hardware Implementation of Population-Based ACO. - Bernd Scheuermann; Michael Guntsch; Martin Middendorf; Hartmut Schmeck (ANTS Workshop, 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)

Solving the Probabilistic TSP with Ant Colony Optimization. - Jürgen Branke; Michael Guntsch (J. Math. Model. Algorithms, 2004)

Ant algorithms in stochastic and multi-criteria environments. - Michael Guntsch (2004)

Ant Colony Optimization. - Jürgen Branke; Michael Guntsch (Handbook of Bioinspired Algorithms and Applications, 2005)