Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Inspirations for Optimization based on Benchmarking

Authors
A.S. XIE, D.X. LIU
Corresponding Author
A.S. XIE
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.30How to use a DOI?
Keywords
Optimization Problems, Intelligent Optimization, Optimization Algorithm, Evolutionary Computation, Swarm Intelligence, Encoding Scheme, Benchmarking Philosophy.
Abstract
The modern intelligent optimization/search algorithms were broadly classified, and some brief analysis and comment were made. Then we revealed some optimization rules implied in the benchmarking philosophy, which provided good inspirations for designing of modern intelligent optimization/search algorithms.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.30How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - A.S. XIE
AU  - D.X. LIU
PY  - 2017/12
DA  - 2017/12
TI  - Inspirations for Optimization based on Benchmarking
BT  - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.30
DO  - https://doi.org/10.2991/anit-17.2018.30
ID  - XIE2017/12
ER  -