We adopt Monte Carlo simulation method, which makes the statistics amount of gross profit, cost and opportunity loss as fitness function.
应用蒙特卡罗方法，将利润、成本和机会损失的统计量作为适应值函数。
Control variables, production of various products, are optimized to gain the optimum value of objective function, that is maximizing profit or minimizing cost in a refinery.
为使目标函数即炼厂的利润最大或是成本最小，对控制变量为各产品的产量进行优化生产。
Improve the credibility and power of the training function by becoming PROFIT instead of COST centered.
通过量化培训对组织产生的价值来增强培训职能的可信度。
In this paper I get the profit be maximum, as the revenue function, cost function are continuous differential and the margin revenue equals margin cost, that marginal profit equals zero.
当收入函数、成本函数为连续可微函数，边际收入等于边际成本，即边际利润等于零时，利润最大；但在离散情况下，上述结论不一定成立，并给出反例。
In terms of grey nonlinear programming the restrictive condition is regarded as the profit functional, and the cost function is considered as the depleting functional.
而灰色非线性规划，则将约束条件当作效益泛函，将一般的目标泛函当作消耗泛函，这二者都是含灰元的灰泛函。
In terms of grey nonlinear programming the restrictive condition is regarded as the profit functional, and the cost function is considered as the depleting functional.
而灰色非线性规划，则将约束条件当作效益泛函，将一般的目标泛函当作消耗泛函，这二者都是含灰元的灰泛函。
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