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Constrained Global Optimization Using the K-T Wu-elimination Method

机译:使用K-T Wu消除方法的约束全局优化

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The global optimum solution is most important for optimization field. Finding global or all local optimum solutions for a nonlinear optimization problem is a great challenge that has not been well overcome by current optimization theories. A Wu-elimination method based on K-T (Kuhn-Tucker) conditions, I.e., K-T Wu-elimination method (KTWM) is proposed to deal with the constrained global optimization problem in this paper. The optimization problems are reformulated to fred all local and global solutions. A unity model expressed by nonlinear equations is established for researching for all solutions of nonlinear equations on the basis of Wu-elimination Method. To examine the behavior of the method proposed by us, some examples are analyzed and compared with other methods. The results indicate that the KTWM has better performance than other current methods.
机译:全局最优解对于优化领域是最重要的。为非线性优化问题寻找全局或所有局部最优解是一个巨大的挑战,当前的优化理论尚未很好地克服这一挑战。提出了一种基于K-T(Kuhn-Tucker)条件的Wu消除方法,即K-T Wu-消除方法(KTWM),以解决约束全局优化问题。重新设计了优化问题,以解决所有本地和全局解决方案。建立了一个以非线性方程表示的统一模型,以Wu-消除法为基础,研究非线性方程的所有解。为了检查我们提出的方法的行为,分析了一些示例并将其与其他方法进行比较。结果表明,KTWM比其他当前方法具有更好的性能。

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