There are several advantages for the infeasible interior point methods; for example, there is no longer a need to use big-M or an extra phase to find the feasible starting point.;In this dissertation, we investigate three infeasible path-following algorithms (a class of interior point methods)...
5. Infeasible path-following algorithms for convex quadratic programming. [D] . Hsieh, Yi-Chih. 1995 机译:凸二次规划的不可行路径跟踪算法。 6. Frequent Statement and Dereference Elimination for Imperative and Object-Oriented Distributed Programs [O] . Mohamed A. El-Zawawy -1 机译:强制性...
dim. of free var = 2 *** convert ublk to lblk SDPT3: Infeasible path-following algorithms version predcorr gam expon scale_data NT 1 0.000 1 0 it pstep dstep pinfeas dinfeas gap prim-obj dual-obj cputime 0|0.000|0.000|1.5e+02|5.3e+01|5.5e+04| 3.194898e+00 0.000000e+00| 0:...
We present the convergence analysis of the inexact infeasible path-following (IIPF) interior-point algorithm. In this algorithm, the preconditioned conjugate gradient method is used to solve the reduced KKT system (the augmented system). The augmented system is preconditioned by using a block triangu...
Alizadeh, Extension of primal-dual interior point algorithms to symmetric cones, Math. Program. 96 (2003), pp. 409–438. doi: 10.1007/s10107-003-0380-z (Open in a new window)Web of Science ®(Open in a new window)Google Scholar G.Q. Wang and Y.Q. Bai, A class of polynomial ...
Monteiro and I.Adler, Interior path-following primal-dual algo- rithms: Part II Convex quadratic programming, Math. Programming, 44 (1989), pp. 43-66. [21] Monteiro, R.D.C.: Primal-dual path-following algorithms for semidefinite programming. SIAM Journal on Optimization, 7, 1997, 663-...
Anstreicher, K.M., Bosch, R.A.: A new infinity-norm path following algorithm for linear programming. SIAM J. Optim. 5(2), 236–246 (1995) Article MathSciNet MATH Google Scholar Darvay, Zs: New interior-point algorithms in linear programming. Adv. Model. Optim. 5(1), 51–92 (20...
problembyusingconventionalmulti.objectiveevolutionalalgorithms.Weconsiderthattheproblemincludesdifficultytoseekhigh qualitysolutionsbythefollowingcharacteristics:(11Sinceinfeasiblesolutionsareresembletogoodfeasiblesolutions,many infeasiblesolutionswhichhavegoodvaluesofobjectivefunctionsareeasilysoughtinthesearchprocess,f2)Infeasible...
Lin et al. (2012) [4] proposed heuristic algorithms using the actual path distance and a maximum of 11 vehicles to demonstrate that shorter travel distances are obtained when the actual path distance is used instead of the Euclidean distance [4]. Raviv et al. (2013) [5] presented two ...
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