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An Improved Differential Evolution Algorithm for Solving Absolute Value Equations

机译:一种求解绝对值方程的改进的差分进化算法。

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Absolute value equations Ax -∣x∣= b are non-differentiable hard problems. Many linear and quadratic programming problems can ultimately be converted into absolute value equation problems so research on solving an absolute value problem has important practical and theoretical significance. An improved adaptive differential evolution algorithm was proposed to solve the absolute value equations in this paper. The algorithm combined global search ability and local search ability, using an adaptive quadratic mutation operation and crossover operation. Numerical results show that the improved algorithm can quickly find the solutions of these equations.
机译:绝对值方程Ax -∣x∣ = b是不可微的硬问题。许多线性和二次规划问题最终都可以转化为绝对值方程问题,因此解决绝对值问题的研究具有重要的实践和理论意义。提出了一种改进的自适应差分进化算法来求解绝对值方程。该算法使用自适应二次变异运算和交叉运算,将全局搜索能力和局部搜索能力结合在一起。数值结果表明,改进算法可以快速找到这些方程的解。

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