caa a22 4500 463169166 CHVBK 20180406164808.0 cr unu---uuuuu 170326e20070901xx s 000 0 eng 10.1007/s10957-007-9232-y doi (NATIONALLICENCE)springer-10.1007/s10957-007-9232-y Primal-Dual Simplex Method for Multiobjective Linear Programming [Elektronische Daten] [M. Ehrgott, J. Puerto, A. Rodríguez-Chía] We develop a primal-dual simplex algorithm for multicriteria linear programming. It is based on the scalarization theorem of Pareto optimal solutions of multicriteria linear programs and the single objective primal-dual simplex algorithm. We illustrate the algorithm by an example, present some numerical results, give some further details on special cases and point out future research. Springer Science+Business Media, LLC, 2007 Multiobjective linear programming nationallicence Primal-dual simplex algorithm nationallicence Ehrgott M. Department of Engineering Science, University of Auckland, Auckland, New Zealand aut Puerto J. Departamento de Estadística e Investigación Operativa, Universidad de Sevilla, Sevilla, Spain aut Rodríguez-Chía A. Departamento de Estadística e Investigación Operativa, Universidad de Cádiz, Cádiz, Spain aut Journal of Optimization Theory and Applications Springer US; http://www.springer-ny.com 134/3(2007-09-01), 483-497 0022-3239 134:3<483 2007 134 10957 https://doi.org/10.1007/s10957-007-9232-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10957-007-9232-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ehrgott M. Department of Engineering Science, University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 700 1- Puerto J. Departamento de Estadística e Investigación Operativa, Universidad de Sevilla, Sevilla, Spain aut NATIONALLICENCE 700 1- Rodríguez-Chía A. Departamento de Estadística e Investigación Operativa, Universidad de Cádiz, Cádiz, Spain aut NATIONALLICENCE 773 0- Journal of Optimization Theory and Applications Springer US; http://www.springer-ny.com 134/3(2007-09-01), 483-497 0022-3239 134:3<483 2007 134 10957 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer