A new weighted order scheme is presented for finding alternative Pareto optimal solution of multi objective linear programming problems. In developing the weighted scheme, a big M model is proposed. We establish some properties of the ordering scheme and the proposed model and show how to determine proper values of the parameter M. Illustrative examples are worked out to show the effectiveness of the proposed approach and the competitiveness of the obtained solutions as compared to the ones obtained by the weighted maxmin and the weighted aggregation methods.6 page(s
Multiple objective optimization involves the simultaneous optimization of more than one, possibly co...
This work proposes a novel multi-objective optimization approach that globally finds a representativ...
Multiobjective combinatorial optimization deals with problems considering more than one viewpoint or...
A new weighted order scheme is presented for finding alternative Pareto optimal solution of multi ob...
AbstractIt is not a difficult task to find a weak Pareto or Pareto solution in a multiobjective line...
Multiobjective combinatorial optimization deals with problems considering more than one viewpoint or...
The problem of aggregating multiple criteria to form overall objective functions is of considerable ...
In multiple criteria linear programming (MOLP) any efficient solution can be found by the weighting ...
AbstractThere exist two general approaches to solve multiple objective problems. The first approach ...
We study a class of multiobjective bilevel programs with the weights of objectives being uncertain a...
The ordered weighted averaging (OWA) objective is an aggregate function over multiple optimization c...
Looking at articles or conference papers published since the turn of the century, Pareto optimizatio...
Multiple objective optimization involves the simultaneous optimization of more than one, possibly co...
Looking at articles or conference papers published since the turn of the century, Pareto optimizatio...
The ordered weighted averaging objective (OWA) is an aggregate function over multiple optimization c...
Multiple objective optimization involves the simultaneous optimization of more than one, possibly co...
This work proposes a novel multi-objective optimization approach that globally finds a representativ...
Multiobjective combinatorial optimization deals with problems considering more than one viewpoint or...
A new weighted order scheme is presented for finding alternative Pareto optimal solution of multi ob...
AbstractIt is not a difficult task to find a weak Pareto or Pareto solution in a multiobjective line...
Multiobjective combinatorial optimization deals with problems considering more than one viewpoint or...
The problem of aggregating multiple criteria to form overall objective functions is of considerable ...
In multiple criteria linear programming (MOLP) any efficient solution can be found by the weighting ...
AbstractThere exist two general approaches to solve multiple objective problems. The first approach ...
We study a class of multiobjective bilevel programs with the weights of objectives being uncertain a...
The ordered weighted averaging (OWA) objective is an aggregate function over multiple optimization c...
Looking at articles or conference papers published since the turn of the century, Pareto optimizatio...
Multiple objective optimization involves the simultaneous optimization of more than one, possibly co...
Looking at articles or conference papers published since the turn of the century, Pareto optimizatio...
The ordered weighted averaging objective (OWA) is an aggregate function over multiple optimization c...
Multiple objective optimization involves the simultaneous optimization of more than one, possibly co...
This work proposes a novel multi-objective optimization approach that globally finds a representativ...
Multiobjective combinatorial optimization deals with problems considering more than one viewpoint or...