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MABS
2005
Springer

Automatic Tuning of Agent-Based Models Using Genetic Algorithms

13 years 9 months ago
Automatic Tuning of Agent-Based Models Using Genetic Algorithms
When developping multi-agent systems (MAS) or models in the context of agent-based simulation (ABS), the tuning of the model constitutes a crucial step of the design process. Indeed, agent-based models are generally characterized by lots of parameters, which together determine the global dynamics of the system. Moreover, small changes made to a single parameter sometimes lead to a radical modification of the dynamics of the whole system. The development and the parameter setting of an agent-based model can thus become long and tedious if we have no accurate, automatic and systematic strategy to explore this parameter space. That’s the development of such a strategy that we work on, suggesting the use of genetic algorithms. The idea is to capture in the fitness function the goal of the design process (efficiency for MAS that realize a given function, realism for agent-based models, etc.) and to make the model automatically evolve in that direction. However the use of genetic algor...
Benoît Calvez, Guillaume Hutzler
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where MABS
Authors Benoît Calvez, Guillaume Hutzler
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