Biologically inspired algorithms is a category of algorithms that imitate the way nature performs. This category has been quite popular, especially for solving complex optimization problems. In this course you will learn and implement modern bio-inspired algorithms and use them to solve optimization problems. Topics considered in the course include: methodology for tackling complex optimization problems, particle swarm optimization, memetic algorithms, multi-objective optimization.
Elena Marchiori and Ida Sprinkhuizen-Kuyper
Slides, research papers and surveys available at BB.
Based on practical assignments.
See Blackboard.