
Previous Article
Finding all minimal elements of a finite partially ordered set by genetic algorithm with a prescribed probability
 NACO Home
 This Issue

Next Article
On linear vector optimization duality in infinitedimensional spaces
An improved targeted climbing algorithm for linear programs
1.  School of Mathematical & Geospatial Sciences, RMIT University, Melbourne, Australia, Australia 
References:
[1] 
H. Arsham, A hybrid gradient and feasible direction pivotal solution algorithm for general linear programs,, Applied Mathematics and Computation, 188 (2007), 596. 
[2] 
H. Arsham, T. Damij and J. Grad, An algorithm for simplex tableau reduction: the pushtopull solution strategy,, Applied Mathematics and Computation, 137 (2003), 525. 
[3] 
E. Barnes, V. Chen, B. Gopalakrishnan and E. L. Johnson, A leastsquares primaldual algorithm for solving linear programming problems,, Operations Research Letters, 30 (2002), 289. doi: 10.1016/S01676377(02)001633. 
[4] 
G. B. Dantzig, "Linear Programming and Extensions,", Princeton University Press, (1963). 
[5] 
N. Karmarkar, A new polynomialtime algorithm for linear programming,, Combinatorica, 4 (1984), 373. doi: 10.1007/BF02579150. 
[6] 
Y. Liu, An exterior point linear programming method based on inclusive normal cones,, Journal of Industrial and Management Optimization, 6 (2010), 825. doi: 10.3934/jimo.2010.6.825. 
[7] 
P. Q. Pan, A largestdistance pivot rule for the simplex algorithm,, European Journal of Operational Research, 187 (2008), 393. 
[8] 
X. J. Xu and Y. Y. Ye, A generalized homogeneous and selfdual algorithm for linear programming,, Operations Research Letters, 17 (1995), 181. doi: 10.1016/01676377(95)000022. 
[9] 
W. C. Yeh and H. W. Corley, A simple direct cosine simplex algorithm,, Applied Mathematics and Computation, 214 (2009), 178. doi: 10.1016/j.amc.2009.03.080. 
show all references
References:
[1] 
H. Arsham, A hybrid gradient and feasible direction pivotal solution algorithm for general linear programs,, Applied Mathematics and Computation, 188 (2007), 596. 
[2] 
H. Arsham, T. Damij and J. Grad, An algorithm for simplex tableau reduction: the pushtopull solution strategy,, Applied Mathematics and Computation, 137 (2003), 525. 
[3] 
E. Barnes, V. Chen, B. Gopalakrishnan and E. L. Johnson, A leastsquares primaldual algorithm for solving linear programming problems,, Operations Research Letters, 30 (2002), 289. doi: 10.1016/S01676377(02)001633. 
[4] 
G. B. Dantzig, "Linear Programming and Extensions,", Princeton University Press, (1963). 
[5] 
N. Karmarkar, A new polynomialtime algorithm for linear programming,, Combinatorica, 4 (1984), 373. doi: 10.1007/BF02579150. 
[6] 
Y. Liu, An exterior point linear programming method based on inclusive normal cones,, Journal of Industrial and Management Optimization, 6 (2010), 825. doi: 10.3934/jimo.2010.6.825. 
[7] 
P. Q. Pan, A largestdistance pivot rule for the simplex algorithm,, European Journal of Operational Research, 187 (2008), 393. 
[8] 
X. J. Xu and Y. Y. Ye, A generalized homogeneous and selfdual algorithm for linear programming,, Operations Research Letters, 17 (1995), 181. doi: 10.1016/01676377(95)000022. 
[9] 
W. C. Yeh and H. W. Corley, A simple direct cosine simplex algorithm,, Applied Mathematics and Computation, 214 (2009), 178. doi: 10.1016/j.amc.2009.03.080. 
[1] 
Jiangtao Mo, Liqun Qi, Zengxin Wei. A network simplex algorithm for simple manufacturing network model. Journal of Industrial & Management Optimization, 2005, 1 (2) : 251273. doi: 10.3934/jimo.2005.1.251 
[2] 
Chloe A. Fletcher, Jason S. Howell. Dynamic modeling of nontargeted and targeted advertising strategies in an oligopoly. Journal of Dynamics & Games, 2017, 4 (2) : 97124. doi: 10.3934/jdg.2017007 
[3] 
ILin Wang, ShiouJie Lin. A network simplex algorithm for solving the minimum distribution cost problem. Journal of Industrial & Management Optimization, 2009, 5 (4) : 929950. doi: 10.3934/jimo.2009.5.929 
[4] 
Rong Hu, YaPing Fang. A parametric simplex algorithm for biobjective piecewise linear programming problems. Journal of Industrial & Management Optimization, 2017, 13 (2) : 573586. doi: 10.3934/jimo.2016032 
[5] 
Jianjun Liu, Min Zeng, Yifan Ge, Changzhi Wu, Xiangyu Wang. Improved Cuckoo Search algorithm for numerical function optimization. Journal of Industrial & Management Optimization, 2017, 13 (5) : 113. doi: 10.3934/jimo.2018142 
[6] 
Miao Yu. A solution of TSP based on the ant colony algorithm improved by particle swarm optimization. Discrete & Continuous Dynamical Systems  S, 2019, 12 (4&5) : 979987. doi: 10.3934/dcdss.2019066 
[7] 
Honggang Yu. An efficient face recognition algorithm using the improved convolutional neural network. Discrete & Continuous Dynamical Systems  S, 2019, 12 (4&5) : 901914. doi: 10.3934/dcdss.2019060 
[8] 
Maolin Cheng, Mingyin Xiang. Application of a modified CES production function model based on improved firefly algorithm. Journal of Industrial & Management Optimization, 2017, 13 (5) : 114. doi: 10.3934/jimo.2019018 
[9] 
Urszula Ledzewicz, Mozhdeh Sadat Faraji Mosalman, Heinz Schättler. Optimal controls for a mathematical model of tumorimmune interactions under targeted chemotherapy with immune boost. Discrete & Continuous Dynamical Systems  B, 2013, 18 (4) : 10311051. doi: 10.3934/dcdsb.2013.18.1031 
[10] 
Urszula Ledzewicz, Omeiza Olumoye, Heinz Schättler. On optimal chemotherapy with a strongly targeted agent for a model of tumorimmune system interactions with generalized logistic growth. Mathematical Biosciences & Engineering, 2013, 10 (3) : 787802. doi: 10.3934/mbe.2013.10.787 
[11] 
Steven D. Galbraith, Ping Wang, Fangguo Zhang. Computing elliptic curve discrete logarithms with improved babystep giantstep algorithm. Advances in Mathematics of Communications, 2017, 11 (3) : 453469. doi: 10.3934/amc.2017038 
[12] 
Ran Ma, Jiping Tao. An improved 2.11competitive algorithm for online scheduling on parallel machines to minimize total weighted completion time. Journal of Industrial & Management Optimization, 2018, 14 (2) : 497510. doi: 10.3934/jimo.2017057 
[13] 
Chenchen Wu, Dachuan Xu, XinYuan Zhao. An improved approximation algorithm for the $2$catalog segmentation problem using semidefinite programming relaxation. Journal of Industrial & Management Optimization, 2012, 8 (1) : 117126. doi: 10.3934/jimo.2012.8.117 
[14] 
JiaoYan Li, Xiao Hu, Zhong Wan. An integrated biobjective optimization model and improved genetic algorithm for vehicle routing problems with temporal and spatial constraints. Journal of Industrial & Management Optimization, 2017, 13 (5) : 118. doi: 10.3934/jimo.2018200 
[15] 
Min Zhang, Gang Li. Multiobjective optimization algorithm based on improved particle swarm in cloud computing environment. Discrete & Continuous Dynamical Systems  S, 2019, 12 (4&5) : 14131426. doi: 10.3934/dcdss.2019097 
[16] 
AbdelRahman Hedar, Ahmed Fouad Ali, Taysir Hassan AbdelHamid. Genetic algorithm and Tabu search based methods for molecular 3Dstructure prediction. Numerical Algebra, Control & Optimization, 2011, 1 (1) : 191209. doi: 10.3934/naco.2011.1.191 
[17] 
Xiaojun Zhou, Chunhua Yang, Weihua Gui. State transition algorithm. Journal of Industrial & Management Optimization, 2012, 8 (4) : 10391056. doi: 10.3934/jimo.2012.8.1039 
[18] 
Eliana Pepa Risma. A deferred acceptance algorithm with contracts. Journal of Dynamics & Games, 2015, 2 (3&4) : 289302. doi: 10.3934/jdg.2015005 
[19] 
José A. Cañizo, Alexis Molino. Improved energy methods for nonlocal diffusion problems. Discrete & Continuous Dynamical Systems  A, 2018, 38 (3) : 14051425. doi: 10.3934/dcds.2018057 
[20] 
François Béguin. Smale diffeomorphisms of surfaces: a classification algorithm. Discrete & Continuous Dynamical Systems  A, 2004, 11 (2&3) : 261310. doi: 10.3934/dcds.2004.11.261 
Impact Factor:
Tools
Metrics
Other articles
by authors
[Back to Top]