Demonstration of effective global optimization techniques via comparative analysis on a large analytical problem set-Reference-Cited by-同舟云学术

Demonstration of effective global optimization techniques via comparative analysis on a large analytical problem set

Published:2016-06-06 Issue:1 Volume:55 Page:179-204
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Inclan E. J.,Dulikravich G. S.

Funder

AFOSR

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s00158-016-1485-3.pdf

Reference46 articles.

1. Ahrari A, Saadatmand MR, Shariat-Panahi M, Atai AA (2010) On the limitations of classical benchmark functions for evaluating robustness of evolutionary algorithms. Appl Math Comput 215:3222–3229

2. Angeline PJ (1998) Evolutionary optimization versus particle swarm optimization: philosophy and performance differences. In: Proceedings of the 7th International Conference, EP98, San Diego

3. Bratley P, Fox BL (1988) Algorithm 659 implementing Sobol’s quasirandom sequence generator. ACM Trans Math Softw 14(1):88–100

4. Burkardt J (2009) SOBOL - the sobol quasirandom sequence:, 12 December 2009. [Online]. Available: http://people.sc.fsu.edu/~jburkardt/cpp_src/sobol/sobol.html . Accessed 1 Jan 2013

5. Coello Coello CA (2002) Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput Methods Appl Mech Eng 191:1245–1287

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