Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function-Reference-Cited by-同舟云学术

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Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function

Published:2017 Issue: Volume: Page:103-119
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Brockhoff Dimo,Auger Anne,Hansen Nikolaus,Tušar Tea

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-54157-0_8

Reference15 articles.

1. Auger, A., Brockhoff, D., Hansen, N., Tušar, D., Tušar, T., Wagner, T.: Benchmarking MATLAB’s Gamultiobj (NSGA-II) on the bi-objective BBOB-2016 test suite. In: GECCO (Companion) Workshop on Black-Box Optimization Benchmarking (BBOB 2016), pp. 1233–1239. ACM (2016)

2. Auger, A., Brockhoff, D., Hansen, N., Tušar, D., Tušar, T., Wagner, T.: Benchmarking the pure random search on the bi-objective BBOB-2016 testbed. In: GECCO (Companion) Workshop on Black-Box Optimization Benchmarking (BBOB 2016), pp. 1217–1223. ACM (2016)

3. Auger, A., Brockhoff, D., Hansen, N., Tušar, D., Tušar, T., Wagner, T.: The impact of variation operators on the performance of SMS-EMOA on the bi-objective BBOB-2016 test suite. In: GECCO (Companion) Workshop on Black-Box Optimization Benchmarking (BBOB 2016), pp. 1225–1232. ACM (2016)

4. Dolan, E.D., Moré, J.J.: Benchmarking optimization software with performance profiles. Math. Program. 91, 201–213 (2002)

5. Lecture Notes in Computer Science;CM Fonseca,1996

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