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A variety of machine learning techniques have been employed to automatically create control algorithms for autonomous vehicles. Much research has focused on various ??black box?? approaches, in which the synthesized or learned control algorithms perform well when tested, but are difficult or impossible to analyze and understand. This paper presents the use of the ADATE system to evolve a control algorithm...
It is commonly believed that diversity is crucial for an evolutionary system to succeed, especially when the problem to be solved contains local optima from which the population cannot easily escape. There exist numerous methods to maintain the diversity of an evolving population, but it is not always clear what kind of diversity is helpful in a given situation. In this paper we show that striving...
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