Using Heuristics and Genetic Algorithms for Large-scale Database Query Optimization
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@Article{JICS-2-243,
author = {},
title = {Using Heuristics and Genetic Algorithms for Large-scale Database Query Optimization},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {2},
number = {4},
pages = {243--251},
abstract = { In this paper, we develop several high-order finite difference schemes to simulate ground water
flow in heterogeneous porous media. Our main purpose is to demonstrate that the high-order method can be
used to resolve the fine scales efficiently for flow in heterogeneous porous media. The effectiveness of this
approach is illustrated by two examples and detailed comparison with the classic second-order method and
homogenization technique.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22788.html}
}
TY - JOUR
T1 - Using Heuristics and Genetic Algorithms for Large-scale Database Query Optimization
AU -
JO - Journal of Information and Computing Science
VL - 4
SP - 243
EP - 251
PY - 2024
DA - 2024/01
SN - 2
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22788.html
KW - Ground water, high-order scheme, heterogeneous media.
AB - In this paper, we develop several high-order finite difference schemes to simulate ground water
flow in heterogeneous porous media. Our main purpose is to demonstrate that the high-order method can be
used to resolve the fine scales efficiently for flow in heterogeneous porous media. The effectiveness of this
approach is illustrated by two examples and detailed comparison with the classic second-order method and
homogenization technique.
. (2024). Using Heuristics and Genetic Algorithms for Large-scale Database Query Optimization.
Journal of Information and Computing Science. 2 (4).
243-251.
doi:
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