16 citations · 77 across the 21 of their papers we have counts for
4 papers · 1 filter
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…
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…
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents
Lenz Belzner, Kyrill Schmid, Thomy Phan +2
In collective adaptive systems (CAS), adaptation can be implemented by optimization wrt. utility. Agents in a CAS may be self-interested, while their utilities may depend on other…
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation
Thomy Phan, Lenz Belzner, Thomas Gabor +1
Making decisions is a great challenge in distributed autonomous environments due to enormous state spaces and uncertainty. Many online planning algorithms rely on statistical sampl…