pareto: Approximates Pareto front for multi-objective optimization of...
In PrincetonUniversity/agroEcoTradeoff: Landuse Tradeoff analysis model

Description Usage Arguments Value

This function generates a series of possible outputs from the AgroEcoTradeoff Model and retains those that are non-dominated, effectively mimicking the traditional weighted sum method for multi-objective optimization.

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pareto(cnames, step = 0.1, prod_targ, yblist = list(1, 1), currprodmod,
  input_key = "ZA", Yv, Cv, BDv, COSTv, Yst, Cst, BDst, COSTst,
  todisk = FALSE, silent = TRUE, ncl = 4)

`cnames`	A list of the constraints to optimize over
`step`	The step interval over which to search for optimal solutions
`prod_targ`	Production targets passed as list. See examples for format.
`yblist`	A two element list of yield modifiers (currently disabled)
`currprodmod`	Modifier of current production
`Yv`	agricultural impact metric (new land required)
`Cv`	Carbon impact metric
`BDv`	Biodiversity impact metric
`Yst`	Function to calculate impacts across crops (e.g. sum)
`Cst`	Function to calculate impacts across carbon (e.g. sum)
`BDst`	Function to calculate impacts across biodiversity (e.g. mean)
`COSTst`	Function to calculate cost impact (e.g. mean)
`todisk`	Write out batch results to disk? TRUE or FALSE (default)
`silent`	Verbose simulations? Doesn't really work with parallel process
`ncl`	Number of cpus to use (default = 4)
`COSTc`	Cost impact metric