Scientific Research An Academic Publisher
OPEN ACCESS
Add your e-mail address to receive free newsletters from SCIRP.
Select Journal AA AAD AAR AASoci AAST ABB ABC ABCR ACES ACS ACT AD ADR AE AER AHS AID AiM AIT AJAC AJC AJCC AJCM AJIBM AJMB AJOR AJPS ALAMT ALC ALS AM AMI AMPC ANP APD APE APM ARS ARSci AS ASM BLR CC CE CellBio ChnStd CM CMB CN CRCM CS CSTA CUS CWEEE Detection EMAE ENG EPE ETSN FMAR FNS GEP GIS GM Graphene GSC Health IB ICA IIM IJAA IJAMSC IJCCE IJCM IJCNS IJG IJIDS IJIS IJMNTA IJMPCERO IJNM IJOC IJOHNS InfraMatics JACEN JAMP JASMI JBBS JBCPR JBiSE JBM JBNB JBPC JCC JCDSA JCPT JCT JDAIP JDM JEAS JECTC JEMAA JEP JFCMV JFRM JGIS JHEPGC JHRSS JIBTVA JILSA JIS JMF JMGBND JMMCE JMP JPEE JQIS JSBS JSEA JSEMAT JSIP JSS JSSM JST JTR JTST JTTs JWARP LCE MC ME MI MME MNSMS MPS MR MRC MRI MSA MSCE NJGC NM NR NS OALib OALibJ ODEM OJA OJAB OJAcct OJAnes OJAP OJApo OJAppS OJAPr OJAS OJBD OJBIPHY OJBM OJC OJCB OJCD OJCE OJCM OJD OJDer OJDM OJE OJEE OJEM OJEMD OJEpi OJER OJF OJFD OJG OJGas OJGen OJI OJIC OJIM OJINM OJL OJM OJMC OJMetal OJMH OJMI OJMIP OJML OJMM OJMN OJMP OJMS OJMSi OJN OJNeph OJO OJOG OJOGas OJOp OJOph OJOPM OJOTS OJPathology OJPC OJPChem OJPed OJPM OJPP OJPS OJPsych OJRA OJRad OJRD OJRM OJS OJSS OJSST OJST OJSTA OJTR OJTS OJU OJVM OPJ POS PP PST PSYCH SAR SCD SGRE SM SN SNL Soft SS TEL TI UOAJ VP WET WJA WJCD WJCMP WJCS WJET WJM WJNS WJNSE WJNST WJV WSN YM
More>>
Bialas, W.F. and Karwan, M.H. (1982) On Tow-Level Linear Optimization. IEEE Transactions on Automatic Control, AC-27, 211-214.
has been cited by the following article:
TITLE: An Alternative Approach for Solving Bi-Level Programming Problems
AUTHORS: Rashmi Birla, Vijay K. Agarwal, Idrees A. Khan, Vishnu Narayan Mishra
KEYWORDS: Linear Programming Problem, Bi-Level Programming Problem, Graph, Algorithm
JOURNAL NAME: American Journal of Operations Research, Vol.7 No.3, May 27, 2017
ABSTRACT: An algorithm is proposed in this paper for solving two-dimensional bi-level linear programming problems without making a graph. Based on the classification of constraints, algorithm removes all redundant constraints, which eliminate the possibility of cycling and the solution of the problem is reached in a finite number of steps. Example to illustrate the method is also included in the paper.
Related Articles:
An Automatic Approach for Satisfying Dose-Volume Constraints in Linear Fluence Map Optimization for IMPT
Maryam Zaghian, Gino Lim, Wei Liu, Radhe Mohan
DOI: 10.4236/jct.2014.52025 3,142 Downloads 4,486 Views Citations
Pub. Date: February 25, 2014
Global Optimization for Solving Linear Non-Quadratic Optimal Control Problems
Jinghao Zhu
DOI: 10.4236/jamp.2016.410188 1,053 Downloads 1,430 Views Citations
Pub. Date: October 13, 2016
Automatic Modeling of Fault Tree for NuIEEE Transactions on Power Electronics,Clear Power Safety I&C Configuration
Shan Leng, Bo Zhang, Wei Sun, Zhiwu Guo, Yichen Hao
DOI: 10.4236/epe.2013.54B052 4,631 Downloads 5,497 Views Citations
Pub. Date: October 15, 2013
Scheduling Strategies and Throughput Optimization for the Uplink for IEEE 802.11ax and IEEE 802.11ac Based Networks
Oran Sharon, Yaron Alpert
DOI: 10.4236/wsn.2017.98014 1,224 Downloads 3,227 Views Citations
Pub. Date: August 11, 2017
Scheduling Strategies and Throughput Optimization for the Downlink for IEEE 802.11ax and IEEE 802.11ac Based Networks
DOI: 10.4236/wsn.2017.910020 852 Downloads 2,159 Views Citations
Pub. Date: October 28, 2017
