Review of Multiple Criteria and Multiple Constraint-level Linear Programming | Zendy

Dandan Chen | Zendy; Yihua Zhong | Zendy; Yuxin Liao | Zendy; Lina Li | Zendy

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Review of Multiple Criteria and Multiple Constraint-level Linear Programming

Author(s) -

Dandan Chen,

Yihua Zhong,

Yuxin Liao,

Lina Li

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.05.022

Subject(s) - computer science , constraint programming , constraint (computer aided design) , linear programming , mathematical optimization , constraint satisfaction , theoretical computer science , algorithm , artificial intelligence , stochastic programming , mathematics , probabilistic logic , geometry

Multiple criteria and multiple constraint-level (MC 2) linear programming has become a major part and a focus issue of Multiple Criteria Decision Making. This paper provides a comprehensive and up-to-date view on MC 2 linear programming, including its concepts, developments of techniques and applications. Given the idea of potential solution, MC 2 -simplex method is motivated by the well-known simplex method of LP and MC 2 interior-point method is inspired by the MC interior-point method. Finally the application status and potential application fields of MC 2 LP are given as well

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