solve_ga: Genetic algorithm solution approach
In Rosenkrands/zav: Zoning for Autonomous Vehicles
solve_ga R Documentation
Genetic algorithm solution approach
Description
Genetic algorithm solution approach
Usage
solve_ga(
instance,
centroids,
no_of_centers,
obj = c("TOT", "SAFE", "OTV"),
miter = 10
)
Arguments
instance
A list returned from generate_2d_instance
centroids
A list returned from grid_centroids
no_of_centers
The number of base locations to generate
obj
Objective function to use (currently "TOT" or "SAFE")
miter
Max number of iterations
Value
A list
Examples
# WIP
Rosenkrands/zav documentation built on March 31, 2022, 2:16 p.m.
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| solve_ga | R Documentation |
Genetic algorithm solution approach
Description
Genetic algorithm solution approach
Usage
solve_ga(
instance,
centroids,
no_of_centers,
obj = c("TOT", "SAFE", "OTV"),
miter = 10
)
Arguments
instance |
A list returned from generate_2d_instance |
centroids |
A list returned from grid_centroids |
no_of_centers |
The number of base locations to generate |
obj |
Objective function to use (currently "TOT" or "SAFE") |
miter |
Max number of iterations |
Value
A list
Examples
# WIP
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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