Inspirations for Optimization based on Benchmarking

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - A.S. XIE
AU  - D.X. LIU
PY  - 2017/12
DA  - 2017/12
TI  - Inspirations for Optimization based on Benchmarking
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 174
EP  - 178
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.30
DO  - 10.2991/anit-17.2018.30
ID  - XIE2017/12
ER  -