• Publications
  • Influence
Collaborating and Learning Predators on a Pursuit Scenario
TLDR
A generic predator/prey pursuit scenario is used to validate a common learning approach using Wilson’s eXtended Learning Classifier System (XCS). Expand
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ICE: self-configuration of information processing in heterogeneous agent teams
TLDR
This paper presents the ICE middleware (Information processing self-Configuration and Exchange). Expand
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XCS Revisited: A Novel Discovery Component for the eXtended Classifier System
TLDR
This paper focuses on the discovery component of XCS that is responsible for the creation and deletion of rules. Expand
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Stay real!: XCS with rule combining for real values
TLDR
This paper provides an extension of the rule combining (RC) technique in the Accuracy-based Learning Classifier System (XCS) to handle continuous-valued input. Expand
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Aspects of Learning in OC Systems
TLDR
The two-layer Observer/Controller architecture has been developed to determine the optimum set of parameters for an OC system that operates in a continuously changing environment. Expand
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Heuristic-based Genetic Operation in Classifier Systems
TLDR
This thesis focuses on improving the Accuracy-based Learning Classifier System (XCS), a Machine Learning technique that attempts to build general and accurate rules. Expand
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Classifier systems with native fuzzy logic control operation
TLDR
In this paper, the accuracy-based Learning Classifier System (XCS) is guided to build the membership function and the rule set commonly owned by a fuzzy logic controller (FLC). Expand
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On-the-fly transformation synthesis for information sharing in heterogeneous multi-agent systems
TLDR
We propose an on-the-fly synthesis of transformations that enables information sharing in a dynamic group of heterogeneous agents. Expand
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Carpe Noctem Cassel Team Description 2016
In this paper we describe the most important improvements of our middle-size league robots in the last year. Concerning the software components, we ported our framework to C++ and implemented a newExpand
In-City Distribution Planning using Capacitated Vehicle Routing Problem with Time Window
We propose Ant Colony Optimization (ACO) in combination to time-slice clustering to find the optimal solution of the Capacitated Vehicle Routing Problem with Time Window (CVRP-TW). In logisticExpand
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