ALTERNATIVE ALGORITHMS FOR SOLVING CLASSICAL TRANSPORTATION PROBLEMS

Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods

There are several methods, in literature, for finding the fuzzy optimal solution of fully fuzzy transportation problems (transportation problems in which all the parameters are represented by fuzzy numbers). In this paper, the shortcomings of some existing methods are pointed out and to overcome these shortcomings, two new methods (based on fuzzy linear programming formulation and classical tra...

Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems

Alternative Approaches for Solving Real-Options Problems

B et al. (2005) describe an approach for using traditional decision analysis tools to solve real-option valuation problems. Their approach calls for a mix of discounted cash flow analysis and risk-neutral valuation methods and is implemented using Monte Carlo simulation and binomial decision trees. In this note, I critique their approach and discuss some alternative approaches for solving these...

Solving Unbalanced Transportation Problems with Budgetary Constraints

A new method namely, interval-point method without using fuzzy set theory is proposed for finding an optimal solution for unbalanced transportation problems with budgetary constraints where demand and budget are imprecise. With the help of numerical example, the proposed method is illustrated. The proposed method enables the decision makers to choose the optimal distribution according to their ...

New Heuristic Algorithms for Solving Single-Vehicle and Multi-Vehicle Generalized Traveling Salesman Problems (GTSP)

Among numerous NP-hard problems, the Traveling Salesman Problem (TSP) has been one of the most explored, yet unknown one. Even a minor modification changes the problem’s status, calling for a different solution. The Generalized Traveling Salesman Problem (GTSP)expands the TSP to a much more complicated form, replacing single nodes with a group or cluster of nodes, where the objective is to fi...