lumix.core.enums.LXObjectiveSense¶

class lumix.core.enums.LXObjectiveSense(value)[source]¶

Objective sense enumeration for optimization direction.

Defines whether the objective function should be minimized or maximized.

MINIMIZE¶: Minimize the objective function Use for: Costs, distances, time, waste, deviations, risk Example: Minimize total transportation cost

MAXIMIZE¶: Maximize the objective function Use for: Profit, revenue, efficiency, throughput, utility Example: Maximize total profit

Note

Every optimization model must have exactly one objective
Minimizing f(x) is equivalent to maximizing -f(x)
For multi-objective problems, use goal programming module

Examples

Setting objective direction:

# Maximize profit
model = LXModel("production_plan")
model.maximize(
    LXLinearExpression()
    .add_term(production, lambda p: p.profit)
)

# Minimize cost
model = LXModel("logistics")
model.minimize(
    LXLinearExpression()
    .add_term(shipment, lambda s: s.cost)
)

# Multi-objective (using goal programming)
model.set_goal_mode("weighted")
# Objectives defined via goal constraints

__init__()¶

Attributes

`MINIMIZE`
`MAXIMIZE`

MINIMIZE = 'min'¶

MAXIMIZE = 'max'¶