1] have given a very computationally efficient heuristic (runs in O(c*n2) time) to give very good dual solution to transportation p'/> Obtaining Optimal Solution by Using Very Good Non-Basic Feasible Solution of the Transportation and Linear Programming Problem
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Obtaining Optimal Solution by Using Very Good Non-Basic Feasible Solution of the Transportation and Linear Programming Problem

机译:通过使用运输和线性规划问题非常好的非基本可行解决方法获得最佳解决方案

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For the transportation problem, Sharma and Sharma [href="#ref1">1] have given a very computationally efficient heuristic (runs in O(c*n2) time) to give very good dual solution to transportation problem. Sharma and Prasad [href="#ref2">2] have given an efficient heuristic (complexity O(n3) procedure to give a very good primal solution (that is generally non-basic feasible solution) to transportation problem by using the very good dual solution given by Sharma and Sharma [href="#ref2">2]. In this paper we use the solution given by Sharma and Prasad [href="#ref2">2] to get a very good Basic Feasible Solution to transportation problem, so that network simplex (worst case complexity (O(n3*(log(n))) can be used to reach the optimal solution to transportation problem. In the second part of this paper, we give a simple heuristic procedure to get a very good BFS to linear programming problem from the solution given by Karmarkar [href="#ref3">3] (that generally produces a very good non-basic feasible solution in polynomial time (O(n5.5)). We give a procedure to obtain a good BFS for LP by starting from the solution given by Karmarkar [href="#ref3">3]. We note that this procedure (given here) is significantly different from the procedure given in [href="#ref4">4].
机译:对于运输问题,Sharma和Sharma [href="#ref1"> 1 ]给了一个非常计算的高效启发式(在o(c * n 2 )时间)为运输问题提供非常好的双重解决方案。 Sharma和prasad [href="#ref2"> 2 ]给出了高效的启发式(复杂性O(n 3 )程序,以给出一个非常好的原始解决方案(通常是非基本可行解决方案)通过使用Sharma和Sharma [href="#ref2"> 2 的非常好的双解决方法来运输问题。在本文中,我们使用Sharma和Prasad给出的解决方案[href="#ref2"> 2 ]为运输问题获得非常好的基本可行的解决方案,使网络单纯x(最坏情况复杂(O(n 3 *( log(n)))可以用来达到运输问题的最佳解决方案。在本文的第二部分,我们给出了一个简单的启发式程序,可以从Karmarkar给出的解决方案中获得一个非常好的BFS到线性编程问题[< Href =“#fef3”> 3 ](通常在多项式时间(O(n 5.5 )中产生非常好的非基本可行解决方案)。我们给出了一个程序通过从Karmarkar给出的解决方案开始,LP的良好BFS [href="#ref3"> 3 ]。我们注意到,与[href="#ref4"> 4 ]中给出的过程有显着不同。

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