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- W24427178 abstract "In this paper we present a framework for writing exact optimization algorithms distributed on a grid environment. It presents a new way of reusing design and code for multiobjective optimization methods in conjunction with assistant methods. These kinds of methods are used mainly for reducing the search space, or for using a mono-objective method for solving a multi-objective problem, or both. We use a master-slave paradigm for the parallelization of the work units and a branch and bound algorithm as a default assistant method. The branch and bound algorithm is also distributed on grids which allows a two level parallelism for the optimization. We show how the different objects are codified in order to allow less communication while at the same time maintaining the reusability requirement. A sample instantiation of the framework is presented using the Parallel Partitioning Method (PPM). Preliminary results are shown using different Flowshop instances." @default.
- W24427178 created "2016-06-24" @default.
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- W24427178 date "2007-01-01" @default.
- W24427178 modified "2023-09-27" @default.
- W24427178 title "A Grid-enabled Framework for Exact Optimization Algorithms" @default.
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