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Duality in Solving Multi-Objective Optimization (MOO) Problems

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DOI: 10.4236/ajor.2019.93006    1,041 Downloads   2,078 Views
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ABSTRACT

Multi-Objective Optimization (MOO) techniques often achieve the combination of both maximization and minimization objectives. The study suggests scalarizing the multi-objective functions simpler using duality. An example of four objective functions has been solved using duality with satisfactory results.

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Sen, C. (2019) Duality in Solving Multi-Objective Optimization (MOO) Problems. American Journal of Operations Research, 9, 109-113. doi: 10.4236/ajor.2019.93006.

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