Florian Siegmund

According to our database, Florian Siegmund authored at least 10 papers between 2012 and 2018.

Collaborative distances:

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

2018

Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement.

Amos H. C. Ng, Florian Siegmund, Kalyanmoy Deb

J. Syst. Inf. Technol., 2018

2017

A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems: Improving the efficiency of time-constrained optimization.

Florian Siegmund

PhD thesis, 2016

Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014

R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs.

Kalyanmoy Deb, Florian Siegmund, Amos H. C. Ng

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

2013

A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Reference point-based evolutionary multi-objective optimization for industrial systems simulation.

Florian Siegmund, Jacob Bernedixen, Leif Pehrsson, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Winter Simulation Conference, 2012

Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2012