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MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing
Adelaide, Australia December 03-December 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2007.62Eighth International Conference on Pa ...
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M. Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama, "MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 167-168, Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007), 2007.
 
 
BibTex
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@article{ 10.1109/PDCAT.2007.62,
author = {M. Wahib and Asim Munawar and Masaharu Munetomo and Kiyoshi Akama},
title = {MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-3049-4},
pages = {167-168},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2007.62},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing
SN - 0-7695-3049-4
SP167
EP168
A1 - M. Wahib,
A1 - Asim Munawar,
A1 - Masaharu Munetomo,
A1 - Kiyoshi Akama,
PY - 2007
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
This paper introduces MHGrid, a framework that exploits meta-heuristics based search methods and Grid computing to enable the transparent sharing of heterogeneous and dynamic resources offering a Grid based Global optimization framework. MHGrid allows a user to solve almost all kinds of global optimization problems in a Black Box manner with a minimal input from the user, it also allows the user to integrate his own solver into MHGrid. In this paper we will discuss the architecture and motivation of such a system. We will also discuss the challenges/complexities involved in constructing MHGrid.
Citation:
M. Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama, "MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing," pdcat, pp.167-168, Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007), 2007
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