T. Krink

发表

Particle swarm optimisation with spatial particle extension

T. Krink, J. Vesterstrom, J. Riget, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Hybrid Particle Swarm Optimiser with breeding and subpopulations

Thomas Kiel Rasmussen, Thiemo Krink, Morten Løvbjerg, 2001 .

Self-organized criticality and mass extinction in evolutionary algorithms

T. Krink, R. Thomsen, T. Krink, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Exact and Heuristic Approaches for the Index Tracking Problem with UCITS Constraints

Fabio Tardella, Andrea Scozzari, Sandra Paterlini, 2012 .

Movements and corridors of African elephants in relation to protected areas

T. Krink, F. Vollrath, T. Krink, 2005, Naturwissenschaften.

A Religion-Based Spatial Model for Evolutionary Algorithms

René Thomsen, Thiemo Krink, Peter Rickers, 2000, PPSN.

High performance clustering with differential evolution

Sandra Paterlini, Thiemo Krink, T. Krink, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

A PATCHWORK model for evolutionary algorithms with structured and variable size populations

Zbigniew Michalewicz, Brian H. Mayoh, Thiemo Krink, 1999 .

Exploring the performance of an evolutionary algorithm for greenhouse control

R. K. Ursem, T. Krink, B. Filipič, 2002, ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534).

The LifeCycle Model: Combining Particle Swarm Optimisation, Genetic Algorithms and HillClimbers

Thiemo Krink, Morten Løvbjerg, T. Krink, 2002, PPSN.

Differential evolution and particle swarm optimisation in partitional clustering

Sandra Paterlini, Thiemo Krink, T. Krink, 2006, Comput. Stat. Data Anal..

Improving Particle Swarm Optimization by hybridization of stochastic search heuristics and Self-Organized Criticality

Thiemo Krink, Morten Løvbjerg, T. Krink, 2002 .

Phone routing using the dynamic memory model

T. Krink, C. N. Bendtsen, C. Bendtsen, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Extending particle swarm optimisers with self-organized criticality

T. Krink, M. Lovbjerg, T. Krink, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Applying Self-Organised Criticality to Evolutionary Algorithms

René Thomsen, Thiemo Krink, Peter Rickers, 2000, PPSN.

A PATCHWORK model for evolutionary algorithms with structured and variable size populations

Z. Michalewicz, T. Krink, B. Mayoh, 1999 .

Multiobjective optimization using differential evolution for real-world portfolio optimization

Sandra Paterlini, Thiemo Krink, T. Krink, 2011, Comput. Manag. Sci..

Noisy optimization problems - a particular challenge for differential evolution?

Gary B. Fogel, Bogdan Filipic, Thiemo Krink, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Dynamic memory model for non-stationary optimization

T. Krink, C. N. Bendtsen, C. Bendtsen, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Differential Evolution for Multiobjective Portfolio Optimization

Sandra Paterlini, Thiemo Krink, T. Krink, 2008 .

Improved Hidden Markov Model training for multiple sequence alignment by a particle swarm optimization-evolutionary algorithm hybrid.

Thomas Kiel Rasmussen, Thiemo Krink, T. Krink, 2003, Bio Systems.

Analysing Spider Web-building Behaviour with Rule-based Simulations and Genetic Algorithms

Fritz Vollrath, Thiemo Krink, T. Krink, 1997 .

Spider webs inspiring soft robotics

Fritz Vollrath, Thiemo Krink, T. Krink, 2020, Journal of the Royal Society Interface.

Exact and heuristic approaches for the index tracking problem with UCITS constraints

Fabio Tardella, Andrea Scozzari, Sandra Paterlini, 2012, Annals of Operations Research.

Exact and heuristic approaches for the index tracking problem with UCITS constraints

F. Tardella, T. Krink, S. Paterlini, 2012, Annals of Operations Research.

Improvement of clustal-derived sequence alignments with evolutionary algorithms

Gary B. Fogel, René Thomsen, Thiemo Krink, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Differential evolution and combinatorial search for constrained index-tracking

Sandra Paterlini, Thiemo Krink, Stefan Mittnik, 2009, Ann. Oper. Res..

Using differential evolution to improve the accuracy of bank rating systems

Sandra Paterlini, Thiemo Krink, Andrea Resti, 2007, Comput. Stat. Data Anal..

Understanding particle swarm optimisation by evolving problem landscapes

William B. Langdon, Owen Holland, Thiemo Krink, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

Division of labor in particle swarm optimisation

J. S. Vesterstrom, J. Riget, T. Krink, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).