Search results for "Pareto"

Totally asymmetric exclusion process fed by using a non-Poissonian clock

2015

In this article we consider the one-dimensional totally asymmetric open-boundary exclusion process fed by a process with power-law-distributed waiting times. More specifically, we use a modified Pareto distribution to define the jump rate for jumps into the system. We then characterize the propagation of fluctuations through the system by kinetic Monte Carlo simulations and by numerical evaluation of the steady-state partition function. peerReviewed

A die-hard aristocracy: competitive balance in Italian soccer, 1929-2009

2010

We will present two measures of the competitive balance in professional Italian soccer, one based on the a club's historical rankings and one based on points scored per season. We will calculate and illustrate their characteristics for the Italian first division (the Serie A) between 1929 and 2009. Using the cumulated rankings of the 60 clubs which have taken part in the Serie A we show that Italian soccer is strongly characterized by a self-reinforcing mechanism of dominance that has created an aristocracy of at most ten strong clubs. We also show that increasing the number of promoted clubs could have an innovative impact. Our results imply that each season is fiercely fought, and this le…

A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

On approaches for solving computationally expensive multiobjective optimization problems

2016

In this thesis, we consider solving computationally expensive multiobjective optimization problems that take into account the preferences of a decision maker (DM). The aim is to support the DM in identifying the most preferred solution for problems that have several conflicting objectives and when the evaluation of the candidate solutions is time consuming. This is conducted by replacing computationally expensive functions with computationally inexpensive functions, known as surrogates. First, based on a literature survey, we introduce two frameworks, i.e., a sequential and an adaptive framework, based on which surrogate-based methods are classified and compared. We then identify relevant cha…

Multi-modal search for multiobjective optimization: an application to optimal smart grids management

2012

This paper studies the possibility to use efficient multimodal optimizers for multi-objective optimization. In this paper, the application area considered for such new approach is the optimal dispatch of energy sources in smart microgrids. The problem indeed shows a non uniform Pareto front and requires efficient optimal search methods. The idea is to exploit the potential of agents in population-based heuristics to improve diversity in the Pareto front, where solutions show the same rank and are thus equally weighted. Since Pareto dominance is at the basis of the theory of multi-objective optimization, most algorithms show the non dominance ranking as quality indicator, with some problem i…

Propuesta de Mejora del Gráfico de Control C Mediante el Diseño Óptimo de un Esquema de Muestreo Doble

2019

En el control estadístico de procesos, la herramienta más utilizada para monitorear el número promedio de no conformidades es el gráfico de Shewhart C. Este gráfico se basa en el supuesto de que el número de no conformidades en las muestras es bien modelada por la distribución de Poisson, y aunque es un gráfico fácil de usar, su capacidad para detectar cambios pequeños es baja, por lo que es necesario tomar tamaños de muestras grandes, aumentando los costos relacionados con el muestreo. Por lo anterior, se propone el desarrollo de un esquema de muestreo doble para el gráfico de control C. Además de derivar la expresión matemática adecuada para la evaluación exacta de la Longitud Media de Co…

Multi-objective human resources allocation in R&D projects planning

2009

In a R&D department, several projects may have to be implemented simultaneously within a certain period of time by a limited number of human resources with diverse skills. This paper proposes an optimisation model for the allocation of multi-skilled human resources to R&D projects, considering individual workers as entities having different knowledge, experience and ability. The model focuses on three fundamental aspects of human resources: the different skill levels, the learning process and the social relationships existing in working teams. The resolution approach for the multi-objective problem consists of two steps: firstly, a set of non-dominated solutions is obtained by exploring the…

Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study

2014

Dynamic process simulators for plant-wide process simulation and multiobjective optimization tools can be used by industries as a means to cut costs and enhance profitability. Specifically, dynamic process simulators are useful in the process plant design phase, as they provide several benefits such as savings in time and costs. On the other hand, multiobjective optimization tools are useful in obtaining the best possible process designs when multiple conflicting objectives are to be optimized simultaneously. Here we concentrate on interactive multiobjective optimization. When multiobjective optimization methods are used in process design, they need an access to dynamic process simulators, …

Hybrid evolutionary multi-objective optimization with enhanced convergence and diversity

2011

Networks of knowledge among unionized firms

2008

We develop a model of strategic networks in order to analyze how trade unions will affect the stability of R&D networks through which knowledge is transmitted in an oligopolistic industry. Whenever firms settle wages, the partially connected network is likely to emerge in the long run if and only if knowledge spillovers are large enough. However, when unions settle wages, the complete network is the unique stable network. In other words, the stronger the union bargaining power is, the more symmetric stable R&D networks will be. In terms of network efficiency, the partially connected network (when firms settle wages) does not Pareto dominate the complete network (when unions settle wages) an…