Integrated software platform for parallel global optimization
作者： A. Zawadzka , E. Niewiadomska-Szynkiewicz
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摘要: The paper is concerned with global optimization techniques and their parallel implementation. We describe an integrated software platform GOOL–PV (Global Optimization Object-oriented Library–Parallel Version) that provides the tools for solving complex problems on multi-core computers or computer clusters. Finally, we present comparative study of sequential algorithms based numerical results a standard set multimodal functions.
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