中文版 | English
Title

A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) (Hot-off-the-Press Track at GECCO 2022)

Author
DOI
Publication Years
2022-07-09
Source Title
Pages
53-54
Abstract
The non-dominated sorting genetic algorithm II (NSGA-II) is the most intensively used multi-objective evolutionary algorithm (MOEA) in real-world applications. However, in contrast to several simple MOEAs analyzed also via mathematical means, no such study exists for the NSGA-II so far. In this work, we show that mathematical runtime analyses are feasible also for the NSGA-II. As particular results, we prove that with a population size larger than the Pareto front size by a constant factor, the NSGA-II with two classic mutation operators and three different ways to select the parents satisfies the same asymptotic runtime guarantees as the SEMO and GSEMO algorithms on the basic OneMinMax and LOTZ benchmark functions. However, if the population size is only equal to the size of the Pareto front, then the NSGA-II cannot efficiently compute the full Pareto front (for an exponential number of iterations, the population will always miss a constant fraction of the Pareto front). Our experiments confirm the above findings. This paper for the Hot-off-the-Press track at GECCO 2022 summarizes the work Weijie Zheng, Yufei Liu, Benjamin Doerr: A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II). AAAI2022, accepted [17].
Keywords
SUSTech Authorship
First
Language
English
URL[Source Record]
Indexed By
EI Accession Number
20223312576718
EI Keywords
Computation theory ; Genetic algorithms ; Population statistics ; Presses (machine tools)
ESI Classification Code
Machine Tools, General:603.1 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Optimization Techniques:921.5
Scopus EID
2-s2.0-85136325504
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/395596
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China
2.Laboratoire d'Informatique (LIX),École Polytechnique,Cnrs,Institut Polytechnique de Paris,Palaiseau,France
First Author AffilicationDepartment of Computer Science and Engineering
First Author's First AffilicationDepartment of Computer Science and Engineering
Recommended Citation
GB/T 7714
Zheng,Weijie,Liu,Yufei,Doerr,Benjamin. A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) (Hot-off-the-Press Track at GECCO 2022)[C],2022:53-54.
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