A Novel Neural Network Model for Solving Programming Problems Based on Linear Restraints;

Firstly, for the stochastic programming problem, we propose the concept of synthesizing effect function, and give the stochastic programming model based on the synthesizing effect function by processing objective function and constraints, and analyze the reliability; secondly, for the multi-objective stochastic programming problem, we use the concept

Optimization and arithmetic of theopen-pit transportation problem;

Behavior analysis of electricity trade using transportation problem and greedy algorithm;

This paper discusses a mathematical model of transportation problem of investment and analyses features of the model.

A special type of transportation problem was studied to optimally adjust freight and transport goods with the limitation of freight adjustment budget.

Based on the N-person cooperative game theory,this paper puts forward a model of the minimum cost allocation of transportation problem.

With the fact that Chinese crude oil import is mainly carried out by chartering foreign VLCCs,an improved transport problem model has been built,and the transport network formed of typical import routes has been optimized.

The primal-dual algorithm for transport problem is improved on using the idea of push-pull flow,The improverd algorithm runs with time limit O(U_n(n+m))and uses very simple data structure,where the considered transport problem has m vertices of supply,n vertices of demand and total supplies U.

One algorithm, supporting number algorithm for finding a closed circuit is given, which is supplement to operation in graphic method on solving transport problems.