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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.
Date of Conference: 3-6 Dec. 2007