Ficha Asignatura - MODELOS AVANZADOS DE OPTIMIZACIÓN EN INGENIERÍA

Ficha Asignatura - Curso 2011/2012

MODELOS AVANZADOS DE OPTIMIZACIÓN EN INGENIERÍA

Curso Académico 2011/2012

2010/2011

2011/2012

2012/2013

	GUIA_DOCENTE			ACTIVIDAD_DOCENTE			GESTIÓN		Language: Cast / Val / Eng

Course information

Specifications
Course
Advanced optimization models for engineers
Id	533	Type		Semester	First	Year	1	Teaching languages	Spanish
ECTS	3		Supervised hours	Theory	24	Shared learning hours	0	Independent learning hours	0
Hours	75		Supervised hours	Practice	0	Shared learning hours	0	Independent learning hours	0
Topic	SPECIALIS. IN ELECTRONICS AND COMMUNIC.				Module
Description	Estudio de los modelos de investigación operativa más frecuentes en los problemas de ingeniería, tanto industrial como de telecomunicaciones. Revisión de las técnicas de solución más habituales desde una perspectiva práctica, haciendo uso del correspondiente software de optimización.
Campus	HIGHER POLYTECHNIC SCHOOL OF ELCHE
Máster oficial			MÁSTER UNIVERSITARIO EN INVESTIGACIÓN EN TECNOLOGÍAS INDUSTRIALES Y DE TELECOMUNICACIÓN

Teachers

Teachers
Name	E-mail	Responsible	Theory	Practice
SANCHEZ SORIANO, JOAQUIN	joaquin@umh.es	X	X	X
LLORCA PASCUAL, NATIVIDAD	nllorca@umh.es		X	X
MONGE IVARS, JUAN FRANCISCO	monge@umh.es		X	X

Course context

Profesional career interests

Related courses
Previous recommended courses	Year	Semester
Topic Courses	Year	Semester

Skills

Skills
Id.	General skills
1
2
3
4
5
6
7
8
9
10
11
12
13
Id.	Specific skills
1

Goals (Learning Results)

Goals (Learning Results)
Id.	Description
1
2
3

Academic content

Units

1.Introduction to mathematical modeling

Description:

Lessons:

Practical sessions:

2.Some basic models in engineering

Description:

Lessons:

2.1.Graphs and network models

2.2.Inventory theory

Practical sessions:

3.Classical algorithms

Description:

Lessons:

Practical sessions:

4.Heuristics and Metaheuristics

Description:

Lessons:

Practical sessions:

5.Models with multiple agents

Description:

Lessons:

5.1.Cooperative games associated with Operations Research problems

5.2.Non cooperative games

Practical sessions:

Goals and units relationship
Goal/Unit	U1	U2	U3	U4	U5
O1	X	X			X
O2		X	X	X	X
O3	X	X	X	X	X

Bibliography

Bibliography
Recommended bibliography
Nonlinear programming theory and algorithms Aut: Bazaraa, M. S. AutSec: Sherali, Hanif D. / Shetty, C. M. Edit: New York John Wiley & Sons cop. 1993
Linear and nonlinear programming Aut: Luenberger, David G. ( 1937-) AutSec: Ye, Yinyu Edit: New York Springer cop. 2008
Teoría de juegos Aut: Pérez Navarro, Joaquín AutSec: Jimeno Pastor, José Luis / Cerdá Tena, Emilio Edit: Madrid Pearson Educación-Prentice Hall [2003]
Aditional bibliography
Handbook of Metaheuristics Aut: F. Glover, G.A. Kochenberger (Eds.) AutSec: Edit: Kluwer Academic Press
Metaheuristics theory and applications Aut: I.H. Osman, J.P. Kelly AutSec: Edit: Kluwer Academic Press
How to solve it modern heuristics Aut: Z. Michalewicz AutSec: Edit: Springer
Heuristics approaches for telecommunications network management,planning and expansion Aut: R. Doverspike, I. Sanie AutSec: Edit: Kluwer Academic Press
Cuadernos de Investigación Operativa 1: Introducción a la Programación Lineal Aut: Pastor, Sánchez-Soriano AutSec: Edit: Mimeo
optimización matemática aplicada Aut: Cánovas, M. J. AutSec: V. Huertas y M. Sempere Edit: ECU
An introductory course on Mathematical Game Theory Aut: gonzález-díaz AutSec: garcía-jurado Edit: ams

Links
http://sabia.tic.udc.es/mgestal/cv/AAGGtutorial/TutorialAlgoritmosGeneticos.pdf Brief remark:
http://sci2s.ugr.es/seminars/5/Int-Metaheuristicas-UIA-Baeza-2006.pdf Brief remark:

Software
Id.	Name	Version	Licence	OS
594	Microsoft Office 2007		Universidad	WINDOWS VISTA

Methodology

Methodology
Degree/Master methodology
Explicación Planificación Plan Estudios

Course-specific methodology

Learning activities
Id	Name	Type
D_CLASES_TEO	Theoretical lessons	D

Methodology
Id	Name
1	Presentation/Master class
3	Exercise and problem resolution

Planning

Planning
Activity	Type	Methodology	Working hours	Total %
Theoretical lessons	D	Presentation/Master class Exercise and problem resolution	24	32%
Supervised hours ~ 40%			24	32%
Shared learning hours ~ 20-30%			0	0%
Independent learning hours ~ 30-40%			0	0%
Total hours			24	32%

Scheduling

Scheduling
Week	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	TOT.
Units									U1	U2	U3	U3 U4	U5
Supervised activities	Theoretical lessons
Supervised hours ~ 40%	0	0	0	0	0	0	0	0	3	6	3	6	6	0	0	24/24
Shared learning activities
Shared learning hours ~ 20-30%	0	0	0	0	0	0	0	0	2	2	2	2	2	2	3	15/0
Independent learning activities
Independent learning hours ~ 30-40%	0	0	0	0	0	0	0	0	4	4	4	6	6	6	6	36/0
Total hours	0	0	0	0	0	0	0	0	9	12	9	14	14	8	9	75/24

Evaluation

Evaluation
Topic evaluation

Course evaluation
>

Última actualización: 03/10/2012

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Course information

Teachers

Course context

Skills

Goals (Learning Results)

Academic content

Bibliography

Methodology

Planning

Scheduling

Evaluation

Escuela Politécnica Superior de Elche