In this paper, we introduce a new approach for solving the traveling salesman problems (TSP) and provide a solution algorithm for a variant of this problem. The concept of the proposed method is based on the Hungarian algorithm, which has been used to solve an assignment problem for reaching an optimal solution. We introduced a new fittest criterion for crossing over such problems, and illu...

One of the important issues for any enterprises is the compromise optimal solution between inverse of multi objective functions. The prediction of the production cost and/or profi t per unit of a product and deal with two obverse functions at same time can be extremely diffi cult, especially if there is a lot of confl ict information about production parameters. But the most important is how mu...

This paper formulates a bilevel compromise programming model for allocating resources between pavement and bridge deck maintenances. The first level of the model aims to solve the resource allocation problems for pavementmanagement and bridge deckmaintenance, without considering resource sharing between them. At the second level, the model uses the results from the first step as an input and ge...

In the quest for a solution to presbyopia and due to the inability to restore the eye's system itself, man in the last centuries resoned to a continuous evolution of increasingly sophisticated types of eyeglasses (Fowler and Patreas, 1991). What technology has had to offer so far, as practical products, were glasses that utilize rigid lenses. The most advanced solution on the market today is sp...

This work evaluates two different approaches for multicriteria graph search problems using compromise preferences. This approach focuses search on a single solution that represents a balanced tradeoff between objectives, rather than on the whole set of Pareto optimal solutions. We review the main concepts underlying compromise preferences, and two main approaches proposed for their solution in ...

Generator Maintenance Scheduling (GMS) problem in a vertically integrated electric utility system is considered in this paper. The cost and reliability objectives are included in the problem formulation. The GMS is formulated as a non linear, heavily constrained multi-objective optimization problem and the non dominated solutions are obtained using multi objective hybrid integer coded different...

This paper deals with preference representation and aggregation in the context of multiattribute utility theory. We consider a set of alternatives having a combinatorial structure. We assume that preferences are compactly represented by graphical utility models derived from generalized additive decomposable (GAI) utility functions. Such functions enable to model interactions between attributes ...

In distribution problems, and specifically in bankruptcy issues, the Proportional (P ) and the Egalitarian (EA) divisions are two of the most popular ways to resolve the conflict. Nonetheless, when using the egalitarian division, agents may receive more than her claim. We propose a compromise between the proportional and the egalitarian solutions by considering the restriction that no one recei...

Two-phase approach had been proposed to generate an efficient solution for the multiple objective linear programming problems [MOLP]. In this research, we shall show a revised two-phase approach to the case of the fuzzy multiple objectives linear programming problems [FMOLP]. This revised model can improve the optimal decision obtained from min operator. Moreover, a compromise model embedded tw...

In this paper, we focus on group decision making problems with uncertain preference ordinals, in which the weight information of decision makers is completely unknown or partly unknown. First of all, the consistency and deviation measures between two uncertain preference ordinals are defined. Based on the two measures, a multi-objective optimization model which aims to maximize the deviation of...