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where l (t) is the index set of the parents of o spring xl (t), and the distribution of is such that prob( = 04) = prob( = 04) = 05 Section 1243 shows how this self-adaptation scheme is used in a coordinate system independent mutation operator

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exemptions, or married status The denominator should not be the total number of employees listed in the payroll, since many of them may be salaried (which requires no payroll change), and so do not provide a true picture of the total number of transactional changes made to the payroll The measurement is: Number of payroll transaction errors Total number of payroll entries For example, the First Alert Company employs a large part-time staff that assembles thousands of first aid kits by hand Its payroll staff is overwhelmed by the constantly varying number of employees and changing hours to be charged, resulting in a constant stream of payroll adjustments The controller wants to determine the payroll transaction error rate before she spends a great deal of money to have a consultant review the payroll process and suggest ways to streamline it She assembles the following information from the last payroll: Transaction Type Address entry Deductions entry Employee addition/deletion Exemptions entry Hours entry Status entry Totals Total Number 9 8 42 15 312 3 389 Number of Errors 1 0 7 0 49 0 57

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Kursawe [492] used a self-adaptation scheme where 1 n nx , and each individual uses a di erent number of deviation parameters, n i (t) At each generation, t, the number of deviation parameters can be increased or decreased at a probability of 005 If the number of deviation parameters increases, ie n i (t) = n i (t 1), then the new deviation parameter is initialized as in ,i (t) (t) = 1 n ,i (t 1)

Smart Grid Service-Oriented Architecture (SOA)

n ,i (t 1)

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Based on this information, the transaction error rate is 57/389, or 15 percent More importantly, a review of the table quickly reveals that the source of nearly all errors is the timekeeping system, which produced 49 errors in the number of hours entered into the system The controller should focus the consultant s efforts in this area This measurement can be misleading when the payroll function is outsourced and a company employee is calling the information in to the payroll supplier, whose data entry clerk is entering the information into a payroll system In this instance, it is difficult to tell if payroll errors originate with the person calling in the information, or the data entry clerk who is inputting it

ik (t)

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A payroll manager may be tracking too much information about employees through the payroll system This results in maintaining an excessive number of payroll entries leading to reduced efficiency For example, the payroll staff may be required to make separate deductions for short-term disability insurance, longterm disability insurance, medical insurance, the cafeteria plan, dental insurance,

(1223)

Evolution strategies use the three main operators of EC, namely selection, crossover, and mutation These operators are discussed in Sections 1241, 1242, and 1243 respectively

Payroll Measurements and Internal Reports / 77

Selection is used for two tasks in an ES: (1) to select parents that will take part in the recombination process and (2) to select the new population For selecting the parents for the crossover operator, any of the selection methods reviewed in Section 85 can be used Usually, parents are randomly selected For each generation, o spring are generated from parents and mutated After crossover and mutation, the individuals for the next generation are selected Two main strategies have been developed: ( + ) ES: In this case (also referred to as the plus strategies) the ES generates o spring from parents, with 1 < The next generation consists of the best individuals selected from parents and o spring The ( + ) ES strategy implements elitism to ensure that the ttest parents survive to the next generation ( , ) ES: In this case (also referred to as the comma strategies), the next generation consists of the best individuals selected from the o spring Elitism is not used, and therefore this approach exhibits a lower selective pressure than the plus strategies Diversity is therefore larger than for the plus strategies, which results in better exploration The ( , ) ES requires that 1 < < , Using the above notation, ES are collectively referred to as ( + )-ES The ( + ) notation has been extended to ( , , ), where denotes the maximum lifespan of an individual If an individual exceeds its lifespan, it is not selected for the next population Note that ( , )-ES is equivalent to ( , 1, )-ES The best selection strategy to use depends on the problem being solved Highly convoluted search spaces need more exploration, for which the ( , )-ES are more applicable

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