URN to cite this document: urn:nbn:de:bvb:703-epub-6441-1
Title data
Glamsch, Johannes ; Rosnitschek, Tobias ; Rieg, Frank:
Initial Population Influence on Hypervolume Convergence of NSGA-III.
In: International Journal of Simulation Modelling.
Vol. 20
(2021)
Issue 1
.
- pp. 123-133.
ISSN 1726-4529
DOI der Verlagsversion: https://doi.org/10.2507/IJSIMM20-1-549
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Abstract
A common method for solving multi-objective optimization problems are evolutionary algorithms (EA), which are utilizing an iterative population-based approach and do not need prior information about the problem to be solved. These algorithms require a variety of control parameters, e. g. the three evolutionary operators (selection, crossover and mutation), a termination criterion and the population size, which are subject of many studies. In contrast to these a less considered factor is the initialization of the first population. This paper analyses the influence of different initialization methods besides the classic sampling with a pseudo-random number generator on the convergence behaviour of the algorithm NSGA-III. It can be shown that different sampling methods affect the convergence behaviour significantly, whereby some methods increase while others decrease the convergence speed. The results also show a strong dependency and interaction between the initialization method and the optimization problem.
Further data
Item Type: | Article in a journal |
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Keywords: | Evolutionary Algorithm; Multi-Objective Optimization; NSGA-III; Sampling; Initial Population |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Institutions of the University: | Faculties > Faculty of Engineering Science > Former Professors > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing. Frank Rieg Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing Stephan Tremmel Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD Faculties > Faculty of Engineering Science > Former Professors |
Language: | English |
Originates at UBT: | Yes |
URN: | urn:nbn:de:bvb:703-epub-6441-1 |
Date Deposited: | 29 Jun 2022 08:39 |
Last Modified: | 07 Jul 2022 06:28 |
URI: | https://epub.uni-bayreuth.de/id/eprint/6441 |