ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'CodigoInstitucion'. [20018] (severity 16) [SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '641548' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NOT NULL;]
SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '641548' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NOT NULL;

ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'CodigoInstitucion'. [20018] (severity 16) [SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '641548' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NULL;]
SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '641548' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NULL;

ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'Institucion'. [20018] (severity 16) [SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = '641548']
SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = '641548'

ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'Institucion'. [20018] (severity 16) [SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = 641548 AND InstitucionPropia = 'S' UNION SELECT Adscripciones.Entidad FROM PublicacionesObras JOIN PublicObrasAutores ON PublicacionesObras.Identificador = PublicObrasAutores.RefPublicacion JOIN Adscripciones ON PublicObrasAutores.NumeroEmpleado = Adscripciones.NumeroEmpleado WHERE (PublicacionesObras.FechaPublicacion BETWEEN Adscripciones.FechaDesde AND Adscripciones.FechaHasta OR (PublicacionesObras.FechaPublicacion >= Adscripciones.FechaDesde AND Adscripciones.FechaHasta IS NULL)) AND PublicacionesObras.Identificador= 641548]
SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = 641548 AND InstitucionPropia = 'S' UNION SELECT Adscripciones.Entidad FROM PublicacionesObras JOIN PublicObrasAutores ON PublicacionesObras.Identificador = PublicObrasAutores.RefPublicacion JOIN Adscripciones ON PublicObrasAutores.NumeroEmpleado = Adscripciones.NumeroEmpleado WHERE (PublicacionesObras.FechaPublicacion BETWEEN Adscripciones.FechaDesde AND Adscripciones.FechaHasta OR (PublicacionesObras.FechaPublicacion >= Adscripciones.FechaDesde AND Adscripciones.FechaHasta IS NULL)) AND PublicacionesObras.Identificador= 641548

Título del libro: Proceedings Of The 2014 Ieee Congress On Evolutionary Computation, Cec 2014
Título del capítulo: MD-MOEA: A new MOEA based on the maximin fitness function and Euclidean distances between solutions

Autores UNAM:
ADRIANA MENCHACA MENDEZ;

---

Autores externos:

---

Idioma:

---

Año de publicación:
2014

---

Palabras clave:

Functional analysis; Health; Multiobjective optimization; Clustering techniques; Crossover and mutation; High dimensionality; Hypervolume indicators; Maximin fitness functions; Multi objective evolutionary algorithms; Multi-objective optimization problem; Standard test functions; Evolutionary algorithms

---

Resumen:

In this paper, we propose a new selection mechanism based on the maximin fitness function and a technique based on Euclidean distances between solutions to improve the diversity of the population in objective function space. Our new selection mechanism is incorporated into a multi-objective evolutionary algorithm (MOEA) which uses the operators of NSGA-II (crossover and mutation) to generate new individuals, giving rise to the so-called 'Maximin-Distances Multi-Objective Evolutionary Algorithm (MD-MOEA)'. Our MD-MOEA is validated using standard test functions taken from the specialized literature, having three to six objective functions. MD-MOEA is compared with respect to MC-MOEA (which is based on the maximin fitness function and a clustering technique), MOEA/D using Penalty Boundary Intersection (PBI), which is based on decomposition, and SMS-EMOA-HYPE (a version of SMS-EMOA that uses a fitness assignment based on the use of an approximation of the hypervolume indicator). Our preliminary results indicate that our MD-MOEA is a good alternative to solve multi-objective optimization problems having both low dimensionality and high dimensionality in objective function space because it obtains better results than MC-MOEA and MOEA/D in most cases and it is competitive with respect to SMS-EMOA-HYPE (in fact, it outperforms SMS-EMOA-HYPE in problems of high dimensionality) but at a much lower computational cost. © 2014 IEEE.

---

Entidades citadas de la UNAM:

---

Fuente:


ISBN:
9781479914883
Editorial:
Institute of Electrical and Electronics Engineers Inc.

Tipo de producto:
Conference Paper

DOI:
10.1109/CEC.2014.6900301