activity
20162022
most citedAn Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems

2 citations · 3 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20221 cited

Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing

Manuela Geiß, Martin Baresch, Georgios Chasparis +3

We present an end-to-end framework for fast retraining of object detection models in human-robot-collaboration. Our Faster R-CNN based setup covers the whole workflow of automatic…

cs.GT2018

Aspiration-based Perturbed Learning Automata

Georgios C. Chasparis

This paper introduces a novel payoff-based learning scheme for distributed optimization in repeatedly-played strategic-form games. Standard reinforcement-based learning exhibits se…

cs.DC2018

Learning-based Dynamic Pinning of Parallelized Applications in Many-Core Systems

Georgios C. Chasparis, Vladimir Janjic, Michael Rossbory

Motivated by the need for adaptive, secure and responsive scheduling in a great range of computing applications, including human-centered and time-critical applications, this paper…

cs.NE20172 cited

An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems

Georgios C. Chasparis, Michael Rossbory, Verena Haunschmid

We introduce an evolutionary stochastic-local-search (SLS) algorithm for addressing a generalized version of the so-called 1/V/D/R cutting-stock problem. Cutting-stock problems are…

cs.GT2017

Stochastic Stability Analysis of Perturbed Learning Automata with Constant Step-Size in Strategic-Form Games

Georgios C. Chasparis

This paper considers a class of reinforcement-learning that belongs to the family of Learning Automata and provides a stochastic-stability analysis in strategic-form games. For thi…

cs.DC2016

Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning

Georgios C. Chasparis, Michael Rossbory

This paper introduces a resource allocation framework specifically tailored for addressing the problem of dynamic placement (or pinning) of parallelized applications to processing…