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Because T 4 is convex (with fixed W i ), updating B t will only increase or maintain the objective J.
As explained in Section "Adaptation strategies", the adaptation strategies tune the aggregation process in favor of (i) updating aggregates with the most recent selected states (UPDATE) or (ii) discovering new selected states (EXPLOITATION).
The optimization process consisted of (i) updating the thermodynamic database used in the Aspen Plus® simulation, (ii) developing a robust flowsheet and optimizing the energy usage therein, (iii) designing a conceptual process incorporating the Aspen Plus® mass and energy flows, and then (iv) estimating the hydrogen production costs.
After sampling α i, updating will also be done in parallel.
Let there be i = 1, 2, …, K parallel chains, each initialized and burned-in independently for B i updating steps before more samples are drawn at intervals.
The update process in this scheme is a Markov chain; its attractors may be found by summarizing all possible state transitions in the transition matrix T, where T i,j is the probability of state i updating to state j in a single update.
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For each time epoch τ i, update T = ξT. .
If syndrome j [k] > syndrome i [k] then process i updates its local entry.
If such a message exits, n i updates its CanSP(n i ).
For each time epoch τ i, update T = T 0 / log ( i + 1 ). .
Thus, node i updates its pheromone information as follows: V ij g = B ij g.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com