Termination Condition

The termination condition is determined by the max number of generation max gen. If t max gen, then continue to implement Step 3-Step 6 during the process of hybrid genetic algorithm based on stochastic simulation (in Sect. 5.3.3). 

5 Optimization of Decentralized Control Supply Chain Logistics. .. 

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Many variations of the Morgan Algorithm were introduced, because of problems finding the terminating condition of stage 1 (oscillating number of equivalent classes [80]) or special atoms with isospcctral points [81],... 

Kj= thermal conductivity of gas film surrounding the droplet, Btu/(h ft )(°F ft), evaluated at the average between diyer gas and drop temperature V = volume of diyer chamber, rP At = temperature driving force (under terminal conditions described above), °F D, = maximum drop diameter, ft to, = weight rate of liquid flow, Ib/h p, = density of hquid, Ib/ft ... 

Within each subcategoiy are any specially designated tempo-raiy procedures required for equipment operating in one of the four operating phases. These procedures are typically short lived due to a terminating condition or expiration date. They describe special tests or temporaiy changes in operating steps. These tempo-raiy procedures can be archived when they are not active. 

For extreme cases it may be necessary to calculate down from the top and up from the bottom until each section shows a fairly uniform temperature gradient from tray to tray. Then the Fenske relation is used for the remaining trays, using the conditions at the trays calculated as the terminal conditions instead of the actual overhead and bottoms. 

Fibonacci numbers, where the number sought is the nth number in a series defined in terms of relationships to the n-1, n-2, etc. members of the series. All recursive procedures must have a terminating condition, so that they do not call themselves endlessly. 

In our case, we define a formula as consisting of raw materials and/or other formulas. We develop a modelling procedure we call to determine formula characteristics from raw material properties, and give it the recursive property of being able to call itself when it encounters a formula used as a raw material. The procedures terminate when all formulas are resolved into basic raw materials. This terminating condition cannot be met if any formula contains a reference to itself, either directly or indirectly, through another formula. 

In the general case the accepted view is the termination condition of the type... 

The problem is thus one of a split boundary type, but one which can be solved by an iterative procedure based on an assumed value for one of the unknown boundary conditions. Assuming a value for dC /dZ at the initial condition Z=0, the equation can be integrated twice to produce values of dCs/dZ and Cs at the terminal condition, Z=L. If the correct value has been taken, the integration will lead to the correct boundary condition that dCs/dZ=0 at Z=L and hence the correct value of Cs- The value of the concentration gradient dCs/dZ is also obtained for all values of Z, throughout the depth of liquid. 

I(V(P,cr,A,B)) which can be regarded as the corresponding verification condition for path o in program (P,I) with initial condition 1(A) and terminal condition KB). ... 

In this problem, the temperature varies throughout the column and the tower will be divided into increments so that by heat and mass balances the terminal conditions over each section may be found. Knowing the compositions and the temperature, the data given may be used in conjunction with the mass coefficient to calculate the height of the chosen increment. Adiabatic conditions will be assumed and, as the sensible heat change of the gas is small, the heat of solution will be used only to raise the temperature of the liquid. The gas temperature will therefore remain constant at 295 K. 

Table 9.1 shows how outer approximation, as implemented in the DICOPT software, performs when applied to the process selection model in Example 9.3. Note that this model does not satisfy the convexity assumptions because its equality constraints are nonlinear. Still DICOPT does find the optimal solution at iteration 3. Note, however, that the optimal MILP objective value at iteration 3 is 1.446, which is not an upper bound on the optimal MINLP value of 1.923 because the convexity conditions are violated. Hence the normal termination condition that the difference between upper and lower bounds be less than some tolerance cannot be used, and DICOPT may fail to find an optimal solution. Computational experience on nonconvex problems has shown that retaining the best feasible solution found thus far, and stopping when the objective value of the NLP subproblem fails to improve, often leads to an optimal solution. DICOPT stopped in this example because the NLP solution at iteration 4 is worse (lower) than that at iteration 3. 

Both sets of guidelines attempt to cover most of the types of problems that might arise in the employee-employer relationship and to set forth desirable conditions for employment. The scope of the ACS document can be comprehended by noting the headings in the PEG, which are Terms of Employment, Employment Environment, Professional Development, Termination Conditions, and Investigation of Unprofessional Conduct. Copies of PEG may be obtained from the ACS (3) and the GPEES from the EJC (4). 

Steps 3-5 are repeated until the termination condition is satisfied. The temperature scheme and the termination condition used in this work have been adopted from Sun et al. (31). Every time when a new solution is accepted or when a preset number of successive trial solutions do not lead to a better result, the temperature is lowered e.g., by 10%. The calculations are terminated when either the current temperature of simulations is lowered to the value of T = 10-6 or the ratio between the current temperature and the temperature corresponding to the best solution found is equal to 10-6. 

More severe forms of depression with classic neurovegetative signs can pose a complicated management issue. For example, many of the classic depressive signs and symptoms (e.g., anorexia, weight loss, disrupted sleep, fatigue, psychomotor retardation) are not only typical of a major depression but also common in patients suffering from a terminal condition. 

Unfortunately, the inconvenience occasioned by these laws—and an unwarranted fear by medical professionals themselves regarding the risk of patient tolerance and addiction—continues to hamper adequate treatment of patients with terminal conditions. This has been shown to be particularly true in children and elderly patients with cancer. There is no excuse for inadequate treatment of pain in a terminal patient not only is addiction irrelevant in such a patient, it is actually uncommon in patients who are being treated for pain (see Chapter 31). 

Some states have recognized the underutilization of pain medications in the treatment of pain associated with chronic and terminal conditions. California, for example, has enacted an "intractable pain treatment" act that reduces the difficulty of renewing prescriptions for opioids. Under the provisions of this act, upon receipt of a copy of the order from the prescriber, eg, by fax, a pharmacist may write a prescription for a Schedule II substance for a patient under hospice care or living in a skilled nursing facility or in cases in which the patient is expected to live less than 6 months, provided that the prescriber countersigns the order (by fax) the word "exemption" with regulatory code number is written on a typical prescription, thus providing easier access for the terminally ill. 

Terminal conditions of the air are read off the adiabatic saturation line and appear on the sketch ... 

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