1) Augmented lagrangian relaxation 增广拉格朗日松弛化 2) augmentation 增广 3) augmented matrix 增广矩阵 1. In the proposed algorithm by means of singular value decomposition (SVD) of a newaugmented matrixand by use of a simple and practical method to deter. ...
Augmented Lagrangian relaxationNonlinear Gauss–Seidel methodThis paper studies the vehicle routing problem with mixed backhauls and time windows (VRPMBTW) for city logistics. A time-discretized multi-commodity network flow optimization model is proposed in an extended state-space-time network ...
E. Rooda, "An augmented lagrangian relaxation for analytical target cascading using the alternating directions method of multipliers," Struct. Multi- disc Optim., vol. 31, no. 3, pp. 176-189, 2006.An augmented Lagrangian relaxation for analytical target cascading using the alternating direction ...
ATC (analytical target cascadingbiddingmulti-optionsaugmented Lagrangian relaxationcoordinationWhen a Make-To-Order (MTO) enterprise receives a bidding invitation ... Oakleaf,Megan - 《Journal of Academic Librarianship》 被引量: 6发表: 2013年 Comparison of Alternative Strategies for Multilevel Optimization...
J. Heredia. Unit Commitment by Augmented Lagrangian Relaxation: Testing Two Decomposition Approaches[J]. Journal of Optimization Theory and Applications . 2002 (2)Rehran C, Heredia F J. Unit commitment by augmented Lagrangian relaxation: testing two decomposition approaches [J]. Journal of ...
This paper proposes an augmented Lagrange Hopfield network based Lagrangian relaxation (ALHN-LR) for solving unit commitment (UC) problem with ramp rate constraints. ALHN-LR is a combination of improved Lagrangian relaxation (ILR) and augmented Lagrange Hopfield network (ALHN) enhanced by heuristic se...
从细观角度建立堆石体的随机散粒体不连续变形(SGDD)模型,该模型采用蒙特卡罗法建立堆石体的随机分布模型,通过基于修正的增广Lagrangian算法的非线性接触算法模拟颗粒间的相互接触作用,可以有效模拟颗粒相互作用及尖端破坏等因素。更多例句>> 2) augmented Lagrangian relaxation 增广Lagrangian松弛算法3...
英文: Abstract: In this paper,we propose an improved Lagrangian relaxation algorithm to solve job-shop scheduling problems.Besides the addition of augmented objective,we expand the search scope of near-optimal solutions and improve the computational efficiency ...
The augmented Lagrangian relaxation (ALR) of (1) has the following form [26]: zρLR+(λ) := inf x∈X {c x+λ (b − Ax) + ρψ(b − Ax)}. (6) Here, ρ > 0 is a fixed given parameter called penalty coefficient and ψ is an augmenting function. In this paper, unless...
The augmented Lagrangian method (ALM) is fundamental for solving convex programming problems with linear constraints. The proximal version of ALM, which regularizes ALM's subproblem over the primal variable at each iteration by an additional positive-definite quadratic proximal term, has been well stu...