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Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Coordination of large numbers of agents for performing complex tasks in complex domains is a rapidly progressing area of research. Because of the high complexity of the problem, approximate and heuristic algorithms are typically used for key coordination tasks. Such algorithms usually require tuning of algorithm parameters to get the best performance in particular circumstances. Manually tuning of parameters is sometime difficult. In this paper, we introduce a new concept of dynamic featuresdoi:10.1115/1.802566.paper84 fatcat:yiilaxqt45hwlg5pmhr7jtwuge