Type of course: |
Elective (1 of 2) |
Language of instruction: |
Romanian |
Erasmus Language of instruction: |
English |
Name of lecturer: |
Corina Rotar |
Seminar tutor: |
Corina Rotar |
Form of education |
Full-time |
Form of instruction: |
Class |
Number of teaching hours per semester: |
48 |
Number of teaching hours per week: |
4 |
Semester: |
Summer |
Form of receiving a credit for a course: |
Grade |
Number of ECTS credits allocated |
6 |
Course aims:
• Develop the students' ability to design software that is dedicated for solving the difficult problems by exploiting evolutionary algorithms.
• Study of the algorithms that is based on natural paradigms.
• Skills for approaching the complex problems in terms of evolutionary algorithms.
• Analytical study of the advantages and disadvantages of traditional algorithms versus stochastic algorithms for optimization problems.
Course Entry Requirements:
Imperative and Procedural Programming, Artificial Intelligence
Course contents:
- Fundamentals of Intelligence Computation
- Paradigm of Genetic Algorithms
- Paradigm of Evolutionary Strategies
- Genetic Programming. Evolutionary programming
- Artificial Immune Systems
- Particle Swarm Optimization Technique
- Ants Colonies. Other natural paradigm
- Application of evolutionary algorithms in optimization
- Introduction to fuzzy logic. Fuzzy systems.
- Introduction in Neural networks
- Bio-inspired Computing and applications I
- Bio-inspired Computing and applications II
Teaching methods:
Lecture, Cooperative learning, Discussion and survey, Team-based learning.
Learning outcomes:
Implementation of an evolutionary algorithm to solve either an optimization or an NP-hard problem.
Learning outcomes verification and assessment criteria:
Final project (oral presentation) 100%
Recommended reading:
Goldberg D.E.,
Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, Inc.
, -
, 1989
, -
Dumitrescu D., Lazzerini B., Jain L.C., Dumitrescu A.,
Evolutionary Computation, CRC Press, Boca Raton London, New York, Washington D.C.
, -
, 2000
, -
Bäck T.,
Evolutionary Algorithms in Theory and Practice, Oxford University Press
, -
, 1996
, -
Rotar C.,
Modele naturale şi algoritmi evolutivi., Accent
, -
, 2008
, -