Technical Note

Journal of the Operational Research Society advance online publication 14 May 2008; doi: 10.1057/palgrave.jors.2602589

A WIN-WIN approach to multiple objective linear programming problems

H V Junior1 and M P E Lins2

  1. 1Aeronautics Technological Institute—ITA, São José dos Campos, SP, Brazil
  2. 2COPPE—Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil

Correspondence: Hélcio Vieira Junior, Aeronautics Technological Institute—ITA, Praça Marechal Eduardo Gomes, 50 - Vila das Acácias, 12228-900, São José dos Campos, SP, Brazil. E-mail: junior_hv@yahoo.com.br

Received January 2006; Accepted November 2007; Published online 14 May 2008.

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Abstract

Interactive decision making arose as a means to overcome the uncertainty concerning the decision maker's (DM) value function. So far the search is confined to nondominated alternatives, which assumes that a win–lose strategy is adopted. The purpose of this paper is to suggest a complementary interactive algorithm that uses an interior point method to solve multiple objective linear programming problems. As the algorithm proceeds, the DM has access to intermediate solutions. The sequence of intermediate solutions has a very interesting characteristic: all of the criteria are improved, that is, a solution Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author, that follows another solution Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author, has the values of all objectives greater than those of Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author. This WIN-WIN feature allows the DM to reach a nondominated solution without making any trade-off among the objective functions. However, there is no impediment in proceeding with traditional multiobjective methods.

Keywords:

multi-objective, optimization, interior point methods, WIN-WIN approach, interactive methods

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