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- W240552012 abstract "Recently, there has been an increasing interest in applying evolutionary computation to path planning. To date, these evolutionary path planners have been single agent planners. In real-world environments where the knowledge of obstacles is naturally distributed, it is possible for single agent path planners to become overwhelmed by the volume of information needed to be processed in order to develop accurate paths quickly in non-stationary environments. This paper presents an adaptive replacement strategy that increases the effectiveness of steady-state evolutionary path planning in slow, constantly changing environments." @default.
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- W240552012 date "2000-07-10" @default.
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- W240552012 title "Distributed steady-state neuro-evolutionary path planning in non-stationary environments using adaptive replacement" @default.
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