IE501714 - Swarm intelligence
Lessons are not given in the academic year 2018/2019
1. agent system modelling
systems theory and agent-based modelling.
passive particle agents.
active particle agents.
2. social agents
flocking behaviour applications agents queuing and homing.
3. Particle swarm optimisation (PSO)
path planning applications.
PSO for path planning.
Dynamic replanning with obstacles.
4. Ant colony optimisation (ACO)
Bees Colony algorithm.
5. Evolutionary Agents (EA)
multi-objective optimisation using GA (MOOGA).
6. Selected topics
multi-robot path planning.
multi-robot task allocation.
Have knowledge of intelligent agents for modeling of industrial, social and biological systems.
Have knowledge of modeling of generic intelligent agents in complex landscapes.
Have knowledge of modeling of social agents in complex landscapes.
Have knowledge of the learning of intelligent agents in complex landscapes.
Have skills in using intelligent agents to solve optimization problems in complex landscapes.
Have skills in developing simulation models based on swarms of intelligent agents.
Have general knowledge about the subject's possibilities and limitations.
Have general knowledge of being able to analyze, disseminate and communicate the topic issues.
Have general knowledge about how intelligent agents can contribute to innovation processes.
Learning methods and activities
Lectures, discussion at group and class level, three mandatory assignments covering the whole course. The mandatory assignments are performed in groups of 2-3 students.
Three mandatory assignments are to be handed in and approved in order to get access to the exam.
- Mandatory assignment
Further on evaluation
Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.
Admission to a programme of study is required:
Simulation and Visualization (880MVS)
The course material will be announced at the start of the course.
- * The location (room) for a written examination is published 3 days before examination date.