我有一个非常短的程序,用来查找使用ojAlgo优化模型的方法:
package dwarfs
import org.ojalgo.optimisation.ExpressionsBasedModel
import org.ojalgo.optimisation.Variable
import java.util.concurrent.atomic.AtomicInteger
val model = ExpressionsBasedModel()
private val funcId = AtomicInteger(0)
private val variableId = AtomicInteger(0)
fun ExpressionsBasedModel.newVariable() = Variable(variableId.incrementAndGet().toString().let { "Variable$it" }).also(this::addVariable)
fun ExpressionsBasedModel.newExpression() = funcId.incrementAndGet().let { "Expression$it"}.let { this.addExpression(it) }
fun main(args: Array<String>) {
val works = model.newExpression().upper(1).lower(0).apply {
dwarfs.forEach { set(it.quata, it.quata, 1) }
}
println(model)
println(works)
model.maximise().let(::println)
}
class Dwarf(val usefulness: Double) {
val quata: Variable = model.newVariable().lower(0).upper(1).weight(usefulness)
}
val dwarfs = listOf(
Dwarf(0.4), Dwarf(0.2), Dwarf(1.1)
)当我拉它的时候,我得到了NPE:
############################################
0 <= Variable1 (0.400000) <= 1.000000
0 <= Variable2 (0.200000) <= 1.000000
0 <= Variable3 (1.100000) <= 1.000000
0 <= Expression1: 0.75 <= 1.000000
############################################
0 <= Expression1 <= 1.000000
Exception in thread "main" java.lang.NullPointerException
at java.util.Objects.requireNonNull(Objects.java:203)
at org.ojalgo.ProgrammingError.throwIfNull(ProgrammingError.java:83)
at org.ojalgo.optimisation.convex.ConvexSolver$Builder.objective(ConvexSolver.java:318)
at org.ojalgo.optimisation.convex.ConvexSolver.copy(ConvexSolver.java:543)
at org.ojalgo.optimisation.convex.ConvexSolver$ModelIntegration.build(ConvexSolver.java:445)
at org.ojalgo.optimisation.convex.ConvexSolver$ModelIntegration.build(ConvexSolver.java:439)
at org.ojalgo.optimisation.ExpressionsBasedModel.solve(ExpressionsBasedModel.java:762)
at org.ojalgo.optimisation.ExpressionsBasedModel.maximise(ExpressionsBasedModel.java:626)
at dwarfs.DwarfsKt.main(dwarfs.kt:22)我找不到关于如何使用二次优化器的任何文档。我哪里出错了?
发布于 2017-11-20 10:46:11
ExpressionsBasedModel是一种建模工具。它可以使用许多不同的求解器,每个求解器都有不同的能力。ojAlgo有一组内置的求解器。一般来说,这可以处理ExpressionsBasedModel可以建模的所有东西,除了一件事--二次约束。这在ExpressionsBasedModel类的javadoc中有说明。(获得NPE并不“好”。我会解决的。)
要解决二次约束问题,您需要一个能够处理这个问题的求解器。例如,您可以尝试使用MOSEK:
https://github.com/optimatika/ojAlgo-extensions/tree/master/ojAlgo-mosek
发布于 2017-11-19 15:45:10
好的,找到了:
目前,ojAlgo提供的求解器只能处理线性约束表达式。
遗憾的是,它没有出现在文档中或站点的任何地方(发现的引用来自代码注释)。
https://stackoverflow.com/questions/47378153
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