Analysis Of Different Search Metrics Used In Multi-Agent-Based Identification Environment
نویسندگان
چکیده
Process data-based system identification is one great challenge in technical process modelling and simulation. In this paper we continue our former work presented in [1], [3] and concentrate on the analysis and evaluation of both the data preprocessing and different search metrics used in the multi-agent-based optimization algorithm. This analysis helps to review and benchmark the impact on different preprocessing steps as well as the influence of the selected search metrics. Based on this evaluation we are able to verify the correct and target-oriented identification procedure. Keywords-system identification, agent-based evolutionary computation, memetic optimization algorithms
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