  To provide a novel tool for the investigation of the energy landscape of the
Edwards-Anderson spin-glass model we introduce an algorithm that allows an
efficient execution of a greedy optimization based on data from a previously
performed optimization for a similar configuration. As an application we show
how the technique can be used to perform higher-order greedy optimizations and
simulated annealing searches with improved performance.
