Credits: 6

Schedule: 05.08.2019 - 23.08.2019

Teacher in charge (valid 01.08.2018-31.07.2020): 

Kalyanmoy Deb

Teaching Period (valid 01.08.2018-31.07.2020): 

2019-2020 V period-summe period, intensive course

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The aim is to get acquainted with different types of nonlinear optimization problems and optimization methodologies including optimality conditions, some well-known nonlinear programming methods. A major emphasis will be given in introducing evolutionary optimization methodologies and their scope in solving practical optimization problems. Issues such as constrained handling, multi-objective optimization and decision-making, customization procedures, hybrid methodologies, uncertainty-based optimization, multi-level optimization, and large-scale optimization will be covered. A number of cases studies from indus-tries will be discussed.

Content (valid 01.08.2018-31.07.2020): 

Part A: Optimization Fundamentals: Scope of optimization in economics, sci-ence and engineering, optimization basics, Structured optimization, such as integer programming and linear and quadratic programming.
Part B: Evolutionary Optimization: Fundamentals, constrained handling, cus-tomization methodologies, multi-objective optimization and decision-making, uncertainty handling leading to robust and reliability-based optimization, bilevel optimization.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Assigments and final exam, see more detailes in the course syllabus on MyCourses

Spring 2020 re-take exam replaced by independent project.

Workload (valid 01.08.2018-31.07.2020): 

Lectures
Assignments
Exam

Spring 2020 re-take exam replaced by independent project.

Study Material (valid 01.08.2018-31.07.2020): 

Informed in MyCourses

Course Homepage (valid 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=30E00150

Prerequisites (valid 01.08.2018-31.07.2020): 

No major prequisites. An exposure to the use of MATLAB software and derivatives of polynomials will be provided in the class.

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Spring 2020 pass/fail

Registration for Courses (valid 01.08.2018-31.07.2020): 

Via WebOodi

Description

Registration and further information