Multiobjective programming has been one of the fastest growing areas of Operation Research . Multiobjective programming is a mathematical programming, a way of considering multiple objectives explicitly and simultaneously in a multiobjective programming framework. As most optimizations problems are multiobjective to their nature, there are many methods avaliable to tackle these kind of problems. Multiobjective problems are discussed in terms of advantages and disadvantages of the four general approaches(articulation of the decision maker’s preference structure over the multiple objectives prior to, during, or after the optimization) towards multiobjective programming. The aim of this study is to classify the solving techniques developed for solving multiobjective programming problems. The techniques discessed in this study have been considered in methodolojical aspects the detailed analysis of solution techniques have not been included.
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Find related papers by JEL classification: C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Statistical Decision Theory; Operations Research