AI Synergies


Jonas Kuckling

PhD student

Simulated Annealing as an Optimization Algorithm in the Automatic Modular Design of Control Software for Robot Swarms

Prior research has shown that the optimization algorithm can have great influence on the quality of the control software produced in the automatic modular design of control software for robot swarms. In this work we investigate, whether a stochastic local search metaheuristic---simulated annealing---can be used as the optimization algorithm in the automatic modular design of robot swarms. The results indicate that simulated annealing is indeed a viable candidate.


I am a PhD student at the IRIDIA lab at the Université Libre de Bruxelles. I have obtained a Master’s degree of Computer Science from the University of Paderborn, Germany. My research interests are swarm robotics, the automatic design of control software and metaheuristics.


Gamay room
Research presentations AI
Day 3 - Nov 8th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

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