A Multi-Agent System Approach for Algorithm Parameter Tuning

Conference Paper · January 2009with3 Reads
DOI: 10.1007/978-3-642-00487-2_15 · Source: DBLP
Conference: 7th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2009, Salamanca, Spain, 25-27 March 2009


    The parameter setting of an algorithm that will result in optimal performance is a tedious task for users who spend a lot
    of time fine-tuning algorithms for their specific problem domains. This paper presents a multi-agent tuning system as a framework to set the parameters of a given algorithm which solves a specific problem. Besides, such a configuration
    is generated taking into account the current problem instance to be solved. We empirically evaluate our multi-agent tuning system using the configuration of a genetic algorithm applied to the root identification problem. The experimental results show
    the validity of the proposed model.