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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        "Daar is ook 'n lys met beperkings wat u kan gebruik om die moontlike reeks oplossings te beperk of om sekere voorwaardes te versag. In die geval van die DEPS- en SCO-oplossers, is hierdie beperkings ook van toepassing op die grense vir die veranderlikes van die probleem. Vanweë die ewekansige aard van die algoritmes, word dit <emph> sterk aanbeveel </emph> om dit te doen, en die boonste (en, in die geval dat \"begin van nie-negatiewe veranderlikes\", ook laer) perke vir almalspesifiseer veranderlikes. Hulle hoef nie naby die werklike oplossing te wees nie (wat waarskynlik in elk geval onbekend is), maar kan 'n rowwe skatting van die verwagte grootte (0 ≤ var ≤ 1 of ook -1 000 000 ≤ var ≤ 1 000 000) gee."
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