Optimization with Metaheuristics II (R-Module)
Exam number: 6779
Semester: from 2nd semester
Duration of the module: One semester
Form of the module (i.e. obligatory, elective etc.): Elective
Frequency of module offer: Winter semester 2016/2017
Prerequisites: Maximum 15 participants. Successful exam of Optimization with Metaheuristics. More information regarding the organization and the registration can be found on the Chair’s website.
Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.
Person responsible for module: Prof. Dr. Christian Almeder
Name of the professor: Prof. Dr. Christian Almeder
Language of teaching: English
ECTS-Credits (based on the workload): 6
Workload and its composition (self-study, contact time):
Contact time (Lecture, tutorial etc.): 15 h; self-study: 165 h
Contact hours (per week in semester): 1
Methods and duration of examination:
Successful development and implementation of a metaheuristic, testing and summarizing it a seminar paper of 10-15 pages (and a 20-30 min. presentation of the results)
Emphasis of the grade for the final grade: Please check regulations of the study programme
Aim of the module (expected learning outcomes and competencies to be acquired):
Aim of the course is deepening the knowledge in population-based metaheuristic methods. Students will get familiar with basic concepts of population-based evolutionary optimization methods and learn how to apply such methods to practical planning problems.
Contents of the module:
Ant Colony Systems
Particle Swarm Optimization
Teaching and learning methods:
Special features (e.g. percentage of online-work, practice, guest speaker, etc.):
Lecture notes and additional material are provided online. Presentations of special topics and case-studies by students.
Literature (compulsory reading, recommended literature):
Registration in Moodle Viadrina required.