1. Liu, C.; Kroll, A.   Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative tasks.   In Soft Computing, Vol. 19, No. 3, pp. 567-584, 2015.   Online First.
2. Liu, C.   Multi‐Robot Task Allocation for Inspection Problems with Cooperative Tasks Using Hybrid Genetic Algorithms.   Dissertation, Schriftenreihe Mess- und Regelungstechnik der Universität Kassel, September 2014.
3. Liu, C.; Kroll, A.   On the performance of different mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems.   In Engineering Applications of Artificial Intelligence, In Engineering Applications of Artificial Intelligence, 2014.   submitted.
4. Bonow, G.; Cramar, L.; Hegenberg, J.; Kroll, A.; Müller, A. O.; Schmidt, L.; Soldan, S.   Mensch-Roboter-Interaktion und Mess-/Inspektionsstrategie.   Technical report, 2013.   Schlussbericht zum Forschungsprojekt.
5. Liu, C.; Kroll, A.   A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms.   In Rutkowski, L. e. a., editor, 11th International Conference on Artificial Intelligence and Soft Computing, ICAISA 2012, LNCS 7268, pp. 466-474, Zakopane, Poland, April 29 - May 3 2012.
6. Liu, C.; Kroll, A.   On Designing Genetic Algorithms for Solving Small- and Medium-Scale Traveling Salesman Problems.   In Rutkowski, L. e. a., editor, International Symposium on Swarm Intelligence and Differential Evolution, SIDE 2012, LNCS 7269, pp. 283-291, Zakopane, Poland, April 29 - May 3 2012.
7. Barz, T.; Bonow, G.; Hegenberg, J.; Habib, K.; Cramar, L.; Welle, J.; Schulz, D.; Kroll, A.; Schmidt, L.   Unmanned Inspection of Large Industrial Environments - Insights into Research Project RoboGasInspector.   In Aschenbruck, N.; Martini, P.; Meier, M.; Tölle, J., editors, Future Security, Vol. 318 of Communications in Computer and Information Science, pp. 216-219, Bonn, 4th – 6th September 2012. Springer Berlin Heidelberg.
8. Liu, C.; Yang, Y.-Q.; Cui, G.-L.   Wireless Measure System of Displacement Based on Eddy Current Sensor.   In Microcomputer Information, Vol. 31, pp. 107-108, 2009.   Accepted for publication.