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A parametric simplex algorithm for biobjective piecewise linear programming problems
- Source :
- Journal of Industrial & Management Optimization. 13:573-586
- Publication Year :
- 2017
- Publisher :
- American Institute of Mathematical Sciences (AIMS), 2017.
-
Abstract
- In this paper we attempt to develop a parametric simplex algorithm for solving biobjective convex separable piecewise linear programming problems. The algorithm presented in this paper can be regarded as an extension of the parametric simplex algorithm for solving biobjective linear programming problems to the piecewise linear case. Analogous to the linear case, this parametric simplex algorithm provides a decomposition of parametric space. A numerical example is presented to illustrate the implementation of the algorithm.
- Subjects :
- 050210 logistics & transportation
Mathematical optimization
021103 operations research
Control and Optimization
Linear programming
Computer science
Applied Mathematics
Strategy and Management
05 social sciences
MathematicsofComputing_NUMERICALANALYSIS
0211 other engineering and technologies
Regular polygon
02 engineering and technology
Atomic and Molecular Physics, and Optics
Separable space
Piecewise linear function
Revised simplex method
Simplex algorithm
0502 economics and business
Criss-cross algorithm
Business and International Management
Electrical and Electronic Engineering
Parametric statistics
Subjects
Details
- ISSN :
- 1553166X
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Journal of Industrial & Management Optimization
- Accession number :
- edsair.doi...........7c93279c871b688ae313ee4b62622839
- Full Text :
- https://doi.org/10.3934/jimo.2016032