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Optimización multiobjetivo intervalo-valuada

Authors: Fernández Gutiérrez, Juan Pablo;

Optimización multiobjetivo intervalo-valuada

Abstract

En 1990, Ishibuchi y Tanaka presentaron una nueva metodología para los problemas de optimización con función objetivo lineal intervalo valuada [4], dando una visión multiobjetivo al concepto de solución, diferenciadose de otros enfoques, como el dado por la optimización inexacta [17]. En 2007 Hsien-Chung Wu hizo desarrollos teóricos para el problema propuesto por Ishibuchi y Tanaka, extiendiendo la visión a funciones no lineales, construyendo una estructura analítica y formulando un teorema similar al teorema de Karush-Kuhn-Tucker para problemas de optimización monó-objetivo de valor real 1 [2]. Posteriormente, en otro artículo [1], Wu considera también funciones restricción intervalo valuadas en el problema de optimización intervalo valuado, pero este se puede reducir al problema de optimización intervalo valuado, con restricciones real valuadas.

Contenido parcial: Resultados Importantes sobre Optimización Intervalo-Valuada -- Funciones Scalarizing -- Optimización de Funciones Multi-Intervalo Valuadas -- Métodos y ejemplos numéricos.

Magíster en Matemáticas Aplicadas

Maestría

vii, 60

Country
Colombia
Related Organizations
Keywords

Non-linear Functions, Funciones no lineales, OPTIMIZACION MATEMATICA, Tesis. Maestría en Matemáticas Aplicadas, Intellectual work. Universidad EAFIT, Trabajo intelectual. Universidad EAFIT, ANALISIS MATEMATICO, Probabilities and applied mathematics, Linear objective function interval valued, Thesis. Master's Degree in Applied Mathematics, Función objetivo lineal intervalo valuada, Game theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green