Decision, Optimization and Computacional Intelligence

Code:

EEC0112

Acronym:

DOIC

Keywords
Classification	Keyword
OFICIAL	Other Technical Areas

Instance: 2006/2007 - 2S

Active?	Yes
Responsible unit:	Power Systems
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LEEC	3	Plano de estudos de transição para 2006/07	4	6	6	63	160
MIEEC	54	Syllabus since 2006/2007	4	-	6	63	160
		Plano para alunos que em 2006 estiveram no 4º ano	4	-	6	63	160

Teaching language

Portuguese

Objectives

The sudents, with course completion, shall be able to:
Formulate problems in the framework of multiple criteria decision analysis. Apply decision aid methodologies. Represent uncertainties with fuzzy sets. Apply methods based on fuzzy reasoning. Apply methods based on non-linear optimization. Understand the fundamentals of meta-heuristics and apply them to solve problems. Understand the concepts of neural computing and apply them to a diversity of problems.

Program

Genaral concepts related to multiple criteria analysis, risk and uncertainty. Decision aid methods. Fuzzy models for the study of power flows and optimal power flow calculation. Non-linear programming. Gradient methods. Non-linear programming with constraints. Linear and non-linear DC model for the optimal power flow problem with constraints. Evolutionary algorithms, particle swarm algorithms and other meta-heuristics. Neural Networks.

Mandatory literature

Clemen, Robert T.; Making hard decisions with decision tools. ISBN: 0-534-36597-3
Manuel Matos; Notas sobre Ajuda à Decisão Multicritério
Vladimiro Miranda; Algumas Notas sobre Programação Não Linear, 1986
Vladimiro Miranda; Computação Evolucionária Fenotípica, 2005
Vladimiro Miranda; DESPACHO ECONOMICO DE SISTEMAS DE PRODUÇÃO-TRANSPORTE - modelização e algoritmos , 1996
Grainger, John J.; Power System Analysis. ISBN: 0-07-113338-0

Teaching methods and learning activities

General theoretical classes with transparency or power point support. Theory/practice classes presenting study cases, solving problems and assisting students in their work assignments.

Software

The Mathworks - Matlab - Release 11.1

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Subject Classes	Participação presencial	56,00
	Total:	-	0,00

Eligibility for exams

Delivery of all assignment works with approval of the work.

Calculation formula of final grade

Written exam (no help material) 40%
Set of assignments 60%
Approval in the course is conditioned to a minimum mark of 8/20 in the written exam.

Examinations or Special Assignments

Assignments to be delivered in the dates determined by the lecturers. These works, to be developed during classes and during the time of autonomous work, are valid for the course and their classification will remain fixed, no re-doing allowed.

Special assessment (TE, DA, ...)

By exam plus assignments. The classification of the assignments (not re-doable) will be composed with the exam following the rule above. Assignment reports must be delivered up to the same deadlines fixed for other students.

Classification improvement

By exam. The classification of the assignments (not re-doable) will be composed with the exam following the rule above.