2006
DOI: 10.33899/csmj.2006.164037
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Solving the Multi Objective Programming Problem Using Mean and Median Value

Abstract: In this paper, the present algorithm [4] to solve fractional programming problem for multi objective functions, investigate the algorithm to solve linear programming problem for multiobjective functions [2], the computer application of algorithm was tested on a number of numerical examples and modify the approach by using mean and median for values of objective functions, to combine objective function from objective functions for linear programming problem for multi objective functions then it has been improve… Show more

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Cited by 11 publications
(17 citation statements)
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“…In which multi-objective function are converted into single objective function with limitation that, individually each objective function optimum value must be greater than zero [2]. Using mean and median solving multi objective programming problem is studied by Sulaiman and Sadiq [3]. Sulaiman and Mustafa also used Harmonic mean to solve MOLPP [4].…”
Section: Introductionmentioning
confidence: 99%
“…In which multi-objective function are converted into single objective function with limitation that, individually each objective function optimum value must be greater than zero [2]. Using mean and median solving multi objective programming problem is studied by Sulaiman and Sadiq [3]. Sulaiman and Mustafa also used Harmonic mean to solve MOLPP [4].…”
Section: Introductionmentioning
confidence: 99%
“…A study of multi-objective linear programming problem (MOLPP) is introduced in [2] which suggest an approach to set up multi-objective function under the limitation so that the optimum value of individual problem was greater than zero. Sulaiman and Sadiq studied the Multi-objective function by using mean and median technique [4]. Also Sulaiman and Salih studied the multi-objective fractional programming problem by using mean and median technique [5].…”
Section: Introductionmentioning
confidence: 99%
“…A multi-objective linear programming problem is introduced by Chandra Sen [1] and suggests an approach to construct the multi-objective function under the limitation that the optimum value of individual problem was greater than zero. [2] studied the multi-objective function by solving the multi-objective programming problem, using mean and mean value. [3] solved the multi objective fractional programming problem by Chandra Sen's technique.…”
Section: Introductionmentioning
confidence: 99%
“…The computer application of our algorithm has also been discussed by solving some numerical examples. Finally we have showed results and comparison among the new technique and Chandra Sen's approach [1] and Sulaiman's approach [2].…”
Section: Introductionmentioning
confidence: 99%
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