This paper develops a model of wage distribution and wage dynamics based on assignment and Pareto learning. The model matches a large number of key facts about wage distribution and wage dynamics. The tractability of Pareto learning allows us to derive joint implications on the wage distribution and wage dynamics as assignment becomes more important. Our model also provides a natural framework ...

This paper presents the integration between a co-operative co-evolutionary genetic algorithm (CCGA) and four evolutionary multiobjective optimisation algorithms (EMOAs): a multi-objective genetic algorithm (MOGA), a niched Pareto genetic algorithm (NPGA), a nondominated sorting genetic algorithm (NSGA) and a controlled elitist nondominated sorting genetic algorithm (CNSGA). The resulting algori...

this paper presents a clear monograph on the optimization of thermal instability resistance of the fg (functionally graded) flat structures. for this aim, two fg flat structures, namely an fg beam and an fg circular plate, are considered. these structures are assumed to obey the first-order shear deformation theory, three-parameters power-law distribution of the constituents, and clamped bounda...

In this paper, we studies the distribution of firm size by using a model based on Sato’s paper in 1970, and proved the static distribution of firm size satisfies Pareto distribution in its upper tail.

In this article we show the relationship between the Pareto distribution and the gamma distribution. This shows that the second one, appropriately extended, explains some anomalies that arise in the practical use of extreme value theory. The results are useful to certain phenomena that are fitted by the Pareto distribution but, at the same time, they present a deviation from this law for very l...

NM-landscapes have been recently introduced as a class of tunable rugged models. They are a subset of the general interaction models where all the interactions are of order less or equal M . The Boltzmann distribution has been extensively applied in single-objective evolutionary algorithms to implement selection and study the theoretical properties of model-building algorithms. In this paper we...

This paper uses Chinese urban data to investigate two important issues regarding city size distribution: the nature in which cities of different size grow relative to each other, and which distribution is the best approximation of city size distribution. First, we examine how cities of different sizes grow relative to each other. While most empirical literatures suggest that relative size and r...

in this paper, an extension of record models, well known as k-records, is considered. bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to have a general form. the proposed procedure is applied to the exponential, weibull and pareto models in one parameter case. also, the two-parameter exponential distribution, when both param...