18 citations · 39 across the 15 of their papers we have counts for
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cs.NE2019
Benchmarking Surrogate-Assisted Genetic Recommender Systems
Thomas Gabor, Philipp Altmann
We propose a new approach for building recommender systems by adapting surrogate-assisted interactive genetic algorithms. A pool of user-evaluated items is used to construct an app…
cs.NE2018
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms
Thomas Gabor, Lenz Belzner, Thomy Phan +1
As automatic optimization techniques find their way into industrial applications, the behavior of many complex systems is determined by some form of planner picking the right actio…
cs.NE2018
Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms
Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien
Diversity is an important factor in evolutionary algorithms to prevent premature convergence towards a single local optimum. In order to maintain diversity throughout the process o…