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Let this fish agent be fbest.
Each fish agent holds a logic tree, separately.
Each fish agent imitates those social behaviors as a fish.
For a fish agent f i, we define four fish agent behaviors that allow it to alter its current logic tree to a new logic tree.
To compute the importance, each fish agent records the correctly classified out-of-bag (OOB) observations.
After applying a series of behaviors, each fish agent holds a new logic tree.
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Fig. 1 The Construction world with a "breathe" procedure for "fish" agents in the fish-tank unit.
This school of fish agents are seeking better solutions iteratively.
To perform initializations, we first generate F fish (fish agents) and F initial logic trees.
In an AFSA, the following behavior is imitated by comparing solutions among different fish agents.
In our approach, a school of fish agents are conducted in parallel.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com