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Mobile ad hoc networks (MANETs) operate in highly dynamic environments with limited resources. Current approaches to network configuration are static and ad-hoc, and therefore frequently perform extremely poorly. We describe our approach to network configuration control that relies on automatically learning the relationships among configuration parameters and maintains near-optimal configurations adaptively, even during highly dynamic missions. We present a case study demonstrating thedoi:10.1109/icdcsw.2006.22 dblp:conf/icdcsw/HaighVT06 fatcat:ohx6buxwenaczi4ffs6cawujki