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Simplifying multiobjective optimization: an automated design methodology for the nondominated sorted genetic algorithm-II

, : Simplifying multiobjective optimization: an automated design methodology for the nondominated sorted genetic algorithm-II. Water Resources Research 39(7): 1196

Many water resources problems require careful balancing of fiscal, technical, and social objectives. Informed negotiation and balancing of objectives can be greatly aided through the use of evolutionary multiobjective optimization (EMO) algorithms, which can evolve entire tradeoff (or Pareto) surfaces within a single run.


DOI: 10.1029/2002wr001483

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