Fluvial restoration by applying multi-target genetic algorithms
Keywords:
genetic algorithm, multicriteria, cost-efficacy, water framework directive, metricsAbstract
Analyzing the processes of environmental resource management, it is clear the increased concern of the environment, configured as a factor (in conjunction with economic and technological criteria, etc.) to take into account in decision-making processes. This combination of factors of different nature complicates the quantitative analysis of the alternatives to which the decision maker has to face, especially if one takes into account environmental factors that typically, by their very nature, are often difficult to compare and quantify.
The use of a system of multicriteria decision support that integrate engine optimization as a multiobjective genetic algorithm is suitable to apply to the environmental issues presented in this article.
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