weights: Weights

In oppr: Optimal Project Prioritization

Weights

Description

Weights are used to specify the relative importance for specific features persisting into the future. Please note that only some objectives require weights, and attempting to solve a problem that does not require weights will throw a warning and the weights will be ignored.

Details

Currently, only one function can be used to specify weights:

add_feature_weights()

Set feature weights for a project prioritization problem().

See Also

constraints, decisions, objectives, problem(), solvers, targets.

Examples

# load data
data(sim_projects, sim_features, sim_actions)

# build problem with maximum richness objective, $300 budget, and
# feature weights
p <- problem(sim_projects, sim_actions, sim_features,
             "name", "success", "name", "cost", "name") %>%
     add_max_richness_objective(budget = 200) %>%
     add_feature_weights("weight") %>%
     add_binary_decisions()

## Not run: 
# solve problem
s <- solve(p)

# print solution
print(s)

# plot solution
plot(p, s)

## End(Not run)

oppr documentation built on Sept. 8, 2022, 5:07 p.m.