Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization-Reference-Cited by-同舟云学术

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Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization

Published:2024-07-14 Issue: Volume: Page:69-70
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
Short-container-title:

Author:

Zheng Weijie¹^ORCID,Doerr Benjamin²^ORCID

Affiliation:

1. Harbin Institute of Technology, Shenzhen, China

2. Institut Polytechnique de Paris, Paris, France

Funder

National Natural Science Foundation of China

Science, Technology and Innovation Commission of Shenzhen Municipality

Guangdong Basic and Applied Basic Research Foundation

FMJH Program Gaspard Monge

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638530.3664064

Reference22 articles.

1. SMS-EMOA: Multiobjective selection based on dominated hypervolume

2. Chao Bian and Chao Qian. 2022. Better running time of the non-dominated sorting genetic algorithm II (NSGA-II) by using stochastic tournament selection. In Parallel Problem Solving From Nature, PPSN 2022. Springer, 428--441.

3. Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms

4. The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem

5. Analysing the Robustness of NSGA-II under Noise

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Proven Runtime Guarantees for How the MOEA/D: Computes the Pareto Front from the Subproblem Solutions;Lecture Notes in Computer Science;2024

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