Improvement for the solution of multi-objective linear programming under the constraint condition of Fuzzy;

Soft fault diagnosis of analog circuit based on multi-objective linear programming

A decision analysis for one residential community based on the mathematic model of the multi-objective linear programming is established and then its optimum solution can be calculated by MATLAB software.

In this paper,the author uses twiddle iteration algorithm of simplex method, finds multiple objective linear programming compromising solutions and obtains satisfactory results.

Optimization over the weakly-efficient (or efficient) set is an important approach for handling the multiple objective linear programming (MOLP).

This paper anaylzes the incompensatory of "min"operator and the nonbalance of arithmetic averaging operator in multiple objective linear programming.

By introducing the possibility degree formula for comparison between two different interval numbers,two chance-constrained models for multiobjective linear programming with interval coefficients are given.

A multiobjective linear programming problem in which all coefficients are fuzzy numbers is considered in this paper.

Based on the modified TH neural network developed by Tank and Hopfield, the goal programming was introduced to solve the multiobjective linear programming.

A new neural network for solving mutiobjective linear programming;