| Issue |
MATEC Web Conf.
Volume 210, 2018
22nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|
|
|---|---|---|
| Article Number | 04052 | |
| Number of page(s) | 5 | |
| Section | Computers | |
| DOI | https://doi.org/10.1051/matecconf/201821004052 | |
| Published online | 05 October 2018 | |
Local search for parallel optimization algorithms for high diminsional optimization problems
Cairo University, Cairo, Egypt
* Corresponding author: nadia.abdalsabour@cu.edu.eg
Local search algorithms perform an important role when being employed with optimization algorithms tackling numerous optimization problems since they lead to getting better solutions. However, this is not practical in many applications as they do not contribute to the search process. This was not much studied previously for traditional optimization algorithms or for parallel optimization algorithms. This paper investigates this issue for parallel optimization algorithms when tackling high dimensional subset problems. The acquired results show impressive recommendations.
Key words: local search / optimization algorithms / paralell algorithms / high dimensional subset problems
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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