Institution: VHB ProDok
Lecturer: Franz Rothlauf (Johannes Gutenberg-Universität Mainz, Information Systems and Business Administration)
Date: 10.-13. Oktober 2016
Place: Johannes-Gutenberg-University, Jakob-Welder-Weg 9, 55128 Mainz
Registration: Please send your registration by Email to doktorandenprogramm@vhbonline.org
Abstract:
Modern heuristics like evolutionary algorithms, genetic programming, variable neighborhood search, tabu search, simulated annealing, and others are widely applied to large, difficult, or realistic optimization problems, for which efficient classical optimization methods are not available. Unfortunately, many text books teach such methods by providing detailed descriptions of the functionality of single examples of modern heuristics neglecting the underlying and common concepts. As a result, the design and application of modern heuristics is often not a systematic task but a result of repeated trial and error. Applicants apply textbook approaches and are wondering why they do not perform well when used for problems of realistic size or complexity.
This course takes a different approach. It teaches the basic, method-independent principles and design guidelines of modern heuristics and how they can be used to systematically develop superior heuristic optimization methods for problems of choice.