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多目标不可微规划的最优性条件

THE OPTIMALITY CONDITIONS IN MULTIOBJECTIVE NONSMOOTH PROGRAMMING
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摘要 本文利用Clarke广义Jacobi短阵的概念,研究了n维欧氏空间中几类多目标不可微规划,并得到相应的最优性条件和Kuhn-Tucker定理。在研究方法上,将目标函数和约束条件结合起来,作为一个整体统一处理,并采用了经典的罚函数方法。 In this paper, the optimality conditions in multiobjective nonsmooth programming with gen- eral, equality, both equality and inequality constraints are studied, where the objective and con- straint functions are all locally Lipschits functions. The problem is studied in such a way that the objective and constraint functions are combined together and that the classical penalty function method is used.
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 1991年第3期91-98,共8页 Journal of Xi'an Jiaotong University
关键词 多目标 非线性规划 库恩塔克定理 multiobjective nonlinear programming Kuhn-Tucker theorem
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参考文献2

  • 1C. Singh. Optimality conditions in multiobjective differentiable programming[J] 1987,Journal of Optimization Theory and Applications(1):115~123
  • 2J. -B. Hiriart-Urruty. Refinements of necessary optimality conditions in nondifferentiable programming I[J] 1979,Applied Mathematics & Optimization(1):63~82

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