A branch and bound technique for finding the minimal solutions of the linear optimization problems subjected to Lukasiewicz FREs

In this paper, an optimization model with a linear objective function subjected to a system of fuzzy relation equations (FRE) is studied where the feasible region is defined by the Lukasiewicz t-norm. Since the finding of all minimal solutions is an NP-hard problem, designing an efficient solution procedure for solving such problems is not a trivial job. Firstly, the feasible domain is characterized and then the problem is solved with a modified branch-and-bound solution technique based on a new solutions set that includes the minimal solutios. After presenting our solution procedure, a concrete example is included for illustration purpose.

Keywords:

Fuzzy relational equations , linear optimization , strict t-norm , Lukasiewicz t-norm.