86 citations · 136 across the 21 of their papers we have counts for
3 papers · 1 filter
Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools
Tom Peetz, Sebastian Vogt, Martin Zaefferer +1
Testing new, innovative technologies is a crucial task for safety and acceptance. But how can new systems be tested if no historical real-world data exist? Simulation provides an a…
Continuous Optimization Benchmarks by Simulation
Martin Zaefferer, Frederik Rehbach
Benchmark experiments are required to test, compare, tune, and understand optimization algorithms. Ideally, benchmark problems closely reflect real-world problem behavior. Yet, rea…
Expected Improvement versus Predicted Value in Surrogate-Based Optimization
Frederik Rehbach, Martin Zaefferer, Boris Naujoks +1
Surrogate-based optimization relies on so-called infill criteria (acquisition functions) to decide which point to evaluate next. When Kriging is used as the surrogate model of choi…