Giorgio Bertoli

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We present a force-based genetic algorithm for self-spreading mobile nodes uniformly over a geographical area. Wireless mobile nodes adjust their speed and direction using a genetic algorithm, where each mobile node exchanges its genetic information of speed and direction encoded in its chromosomes with the neighboring nodes. Simulation experiments show(More)
We present genetic algorithms (GAs) as a decentralised topology control mechanism distributed among active running software agents to achieve a uniform spread of terrestrial unmanned vehicles (UVs) over an unknown geographical area. This problem becomes more challenging under the harsh and bandwidth limited conditions of military applications. Using only(More)
In this poster, we describe our experience of designing and executing two different weeklong programs for 10th -- 12th grade students. The goal of our program is to attract students to the field of computing, increase their computing confidence and familiarize them with ways that computing impacts our community. Student groups consist of 32 students for(More)
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