Local Beam Search
•Idea: instead of one state, keep track of many.
•Begins at k random states
•Generates all successors, keeps k best for next step.
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LOCAL-BEAM-SEARCH can be seen as a cross between running k HILL-CLIMBING searches at random states and GENETIC-ALGORITHMS.
To think about: why is this?