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Phase 1 uses a generic algorithm, it starts with a random guess and keeps the best mutations as the input for Phase 2. Phase 2 then re-balances the set by iterating over small valid changes to each location until the score of the location set has been optimized.
The Speed/Optimization control determines how long we stay in Phase 1 before completing the optimization in Phase2.