Unit Instance

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        "There is also a list of constraints you can use to restrict the possible range of solutions or to penalize certain conditions. However, in case of the evolutionary solvers DEPS and SCO, these constraints are also used to specify bounds on the variables of the problem. Due to the random nature of the algorithms, it is <emph>highly recommended</emph> to do so and give upper (and in case \"Assume Non-Negative Variables\" is turned off also lower) bounds for all variables. They don't have to be near the actual solution (which is probably unknown) but should give a rough indication of the expected size (0 ≤ var ≤ 1 or maybe -1000000 ≤ var ≤ 1000000)."
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        "Der er også en liste over begrænsninger du kan benytte for at afgrænse det mulige område af løsninger eller for at forbyde/undgå bestemte betingelser. I tilfældet med de evolutionære problemløsere DEPS og SCO, bliver disse begrænsninger dog også brugt til at definere grænser hvad angår problemets variable. Som følge af beregningsmetodernes tilfældige natur, er det <emph>kraftigt anbefalet</emph> at gøre dette og angive øvre (og i tilfælde af at \"Antager ikke-negative variable\" er fravalgt. også nedre) grænser for alle variable. De behøver ikke være tæt på den faktiske løsning (som sandsynligvis er ukendt) men bør give en grov indikation af den forventede størrelse (0 ≤ var ≤ 1 eller måske -1000000 ≤ var ≤ 1000000)."
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