public void doOptimize() {
nlopt = NloptLibrary.nloptCreate(NloptAlgorithm.NLOPT_LD_MMA, start.length);
IntValuedEnum<NloptResult> nloptResult =
nloptSetMinObjective(nlopt, Pointer.pointerTo(object), Pointer.NULL);
if (!nloptResult.equals(NloptResult.NLOPT_SUCCESS)) {
throw new IllegalStateException(nloptResult.toString());
}
nloptResult =
NloptLibrary.nloptAddInequalityMconstraint(
nlopt,
inequalConstraints.getConstraintsSize(),
Pointer.pointerTo(inequalConstraints),
Pointer.NULL,
Pointer.pointerToDoubles(inequalTolerents));
if (!nloptResult.equals(NloptResult.NLOPT_SUCCESS)) {
throw new IllegalStateException(nloptResult.toString());
}
nloptSetXtolRel(nlopt, objectRelativeTolerent);
NloptLibrary.nloptSetXtolAbs1(nlopt, objectAbsoluteTolerence);
Pointer<Double> functionResultPoint = Pointer.pointerToDouble(0);
Pointer<Double> parameterPoint = Pointer.pointerToDoubles(start);
if (null != initOptimizationTrigger) {
Map<String, Object> initData = new HashMap<String, Object>();
initData.put("start", start);
initOptimizationTrigger.accept(initData);
} else {
logger.warn("initOptimizationBus is null");
}
resultStatus = NloptLibrary.nloptOptimize(nlopt, parameterPoint, functionResultPoint).value();
resultParameters = parameterPoint.getDoubles();
resultValue = functionResultPoint.getDouble();
NloptLibrary.nloptDestroy(nlopt);
}
