机译:具有正则和拉格朗日对偶关系的非凸约束全局优化问题的解和最优准则
Department of Mathematics, Virginia Tech, Blacksburg, VA 24061, USA Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA;
Department of Mathematics, Virginia Tech, Blacksburg, VA 24061, USA Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA;
Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA;
canonical duality theory; triality; lagrangian duality; global optimization; integer programming;
机译:广义增广拉格朗日对偶和遗传算法的非光滑和非凸约束最优混合混合方向方法
机译:广义增广拉格朗日对偶和遗传算法的非光滑和非凸约束最优混合混合方向方法
机译:框约束非凸和非光滑优化问题的规范对偶
机译:解决全球优化问题的规范二元理论与拉格朗日二元的关系(摘要)
机译:参数最优互补约束的全局解决方案及其在最优参数选择中的应用
机译:折叠凹面非凸学习的全局解决方案
机译:非凸约束全局优化问题的解和最优性准则与规范和拉格朗日对偶之间的联系
机译:全局优化决策科学中一些具有挑战性问题的典型对偶理论与算法。