A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives-Reference-Cited by-同舟云学术

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A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
language:
Short-container-title:

Author:

Johnson Victoria¹^ORCID,Duro João¹^ORCID,Kadirkamanathan Visakan¹^ORCID,Purshouse Robin¹^ORCID

Affiliation:

1. The University of Sheffield, Sheffield, United Kingdom

Funder

UK Prevention Research Partnership

EPSRC

UK Research and Innovation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596414

Reference32 articles.

1. Natalia Alexandrov and Robert Lewis . 2000 . Comparative Properties Of Collaborative Optimization And Other Approaches To Mdo. ASMO UK/ISSMO conference on engineering design optimization (03 2000). Natalia Alexandrov and Robert Lewis. 2000. Comparative Properties Of Collaborative Optimization And Other Approaches To Mdo. ASMO UK/ISSMO conference on engineering design optimization (03 2000).

2. Pymoo: Multi-Objective Optimization in Python

3. Implementation and performance issues in collaborative optimization

4. Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites

5. Comparison of collaborative optimization to conventional design techniques for a conceptual RLV

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