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In the second part, test functions with their respective Pareto fronts for multi-objective optimization problems (MOP) are given. The artificial landscapes presented herein for single-objective optimization problems are taken from Bäck, [1] Haupt et al. [2] and from Rody Oldenhuis software. [3]
The pay scale was originally created with the purpose of keeping federal salaries in line with equivalent private sector jobs. Although never the intent, the GS pay scale does a good job of ensuring equal pay for equal work by reducing pay gaps between men, women, and minorities, in accordance with another, separate law, the Equal Pay Act of 1963.
A pay scale (also known as a salary structure) is a system that determines how much an employee is to be paid as a wage or salary, based on one or more factors such as the employee's level, rank or status within the employer's organization, the length of time that the employee has been employed, and the difficulty of the specific work performed.
It is known that the wage level of employees in the public sector affects the frequency of corruption, and that higher salary levels for public sector workers help reduce corruption. It has also been shown that countries with smaller wage gaps in the public sector have less corruption.
Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization and is generally performed during the data preprocessing step.
Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. [1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications [2] [3] [4] Additionally, DEA has been used to assess the performance of natural language ...
Salary surveys provide data on salaries for specific jobs throughout the market. Organizations may use salary survey data to develop and update their compensation packages. [ 9 ] Individuals may use salary survey data in salary negotiations.
Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as: