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Initial Population Influence on Hypervolume Convergence of NSGA-III

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006441
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
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

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