hpa reconcile keep generating the new recommendation

### 🐛 Describe the bug

1. When we update the hpa configuration, it will enqueue the objects and immediately generate the new recommendations.

2. Controller normally updates the CR object and trigger the new reconcilation loop

We should use default freeze window to skip frequent updates.

```
I0930 22:50:10.750098 1 autoscaler.go:269] "Collecting metrics" source="default/podautoscaler-mock-llama2-7b" total pods=10 metrics available pods=10
I0930 22:50:10.750123 1 autoscaler.go:273] "Processing metrics snapshot" source="default/podautoscaler-mock-llama2-7b" values=[8,21,36,51,44,10,56.99999999999999,30,19,14.000000000000002]
I0930 22:50:10.750137 1 autoscaler.go:298] "Metrics aggregated" currentValue=43.68571428571429 trend=0 confidence=0 podCount=10
I0930 22:50:10.750143 1 autoscaler.go:320] "Computing scaling recommendation" source="default/podautoscaler-mock-llama2-7b" algorithm="apa"
I0930 22:50:10.750156 1 autoscaler.go:326] "Scaling recommendation computed" source="default/podautoscaler-mock-llama2-7b" algorithm="apa" recommendation={"DesiredReplicas":8,"Confidence":0,"Reason":"apa scaling based on current metrics","Algorithm":"apa","ScaleValid":true,"Metadata":{"current_value":43.68571428571429,"trend":0}}
I0930 22:50:10.759901 1 podautoscaler_controller.go:523] "Successfully rescaled" PodAutoscaler="default/podautoscaler-mock-llama2-7b" currentReplicas=10 desiredReplicas=8 reason="All metrics below target"
I0930 22:50:10.983530 1 autoscaler.go:269] "Collecting metrics" source="default/podautoscaler-mock-llama2-7b" total pods=10 metrics available pods=10
I0930 22:50:10.983570 1 autoscaler.go:273] "Processing metrics snapshot" source="default/podautoscaler-mock-llama2-7b" values=[12,56.99999999999999,72,71,72,54,33,35,7.000000000000001,5]
I0930 22:50:10.983597 1 autoscaler.go:298] "Metrics aggregated" currentValue=45.51428571428571 trend=0 confidence=0 podCount=10
I0930 22:50:10.983616 1 autoscaler.go:320] "Computing scaling recommendation" source="default/podautoscaler-mock-llama2-7b" algorithm="apa"
I0930 22:50:10.983658 1 autoscaler.go:326] "Scaling recommendation computed" source="default/podautoscaler-mock-llama2-7b" algorithm="apa" recommendation={"DesiredReplicas":7,"Confidence":0,"Reason":"apa scaling based on current metrics","Algorithm":"apa","ScaleValid":true,"Metadata":{"current_value":45.51428571428571,"trend":0}}
E0930 22:50:10.997355 1 controller.go:316] "msg"="Reconciler error" "error"="failed to apply scaling for Deployment/default/mock-llama2-7b: Operation cannot be fulfilled on deployments.apps \"mock-llama2-7b\": the object has been modified; please apply your changes to the latest version and try again" "PodAutoscaler"={"name":"podautoscaler-mock-llama2-7b","namespace":"default"} "controller"="podautoscaler" "controllerGroup"="autoscaling.aibrix.ai" "controllerKind"="PodAutoscaler" "name"="podautoscaler-mock-llama2-7b" "namespace"="default" "reconcileID"="34119e05-3292-485c-8a90-4b9e124143f2"
I0930 22:50:11.060594 1 autoscaler.go:269] "Collecting metrics" source="default/podautoscaler-mock-llama2-7b" total pods=10 metrics available pods=10
I0930 22:50:11.060615 1 autoscaler.go:273] "Processing metrics snapshot" source="default/podautoscaler-mock-llama2-7b" values=[82,62,20,60,34,31,78,60,5,84]
I0930 22:50:11.060628 1 autoscaler.go:298] "Metrics aggregated" currentValue=46.275000000000006 trend=0 confidence=0 podCount=10
I0930 22:50:11.060637 1 autoscaler.go:320] "Computing scaling recommendation" source="default/podautoscaler-mock-llama2-7b" algorithm="apa"
I0930 22:50:11.060652 1 autoscaler.go:326] "Scaling recommendation computed" source="default/podautoscaler-mock-llama2-7b" algorithm="apa" recommendation={"DesiredReplicas":7,"Confidence":0,"Reason":"apa scaling based on current metrics","Algorithm":"apa","ScaleValid":true,"Metadata":{"current_value":46.275000000000006,"trend":0}}
I0930 22:50:11.069311 1 podautoscaler_controller.go:523] "Successfully rescaled" PodAutoscaler="default/podautoscaler-mock-llama2-7b" currentReplicas=8 desiredReplicas=7 reason="All metrics below target"
I0930 22:50:11.139566 1 autoscaler.go:269] "Collecting metrics" source="default/podautoscaler-mock-llama2-7b" total pods=10 metrics available pods=10
I0930 22:50:11.139608 1 autoscaler.go:273] "Processing metrics snapshot" source="default/podautoscaler-mock-llama2-7b" values=[91,24,48,28.000000000000004,47,28.000000000000004,80,71,84,43]
I0930 22:50:11.139631 1 autoscaler.go:298] "Metrics aggregated" currentValue=46.62499999999999 trend=0 confidence=0 podCount=10
I0930 22:50:11.139643 1 autoscaler.go:320] "Computing scaling recommendation" source="default/podautoscaler-mock-llama2-7b" algorithm="apa"
I0930 22:50:11.139670 1 autoscaler.go:326] "Scaling recommendation computed" source="default/podautoscaler-mock-llama2-7b" algorithm="apa" recommendation={"DesiredReplicas":6,"Confidence":0,"Reason":"apa scaling based on current metrics","Algorithm":"apa","ScaleValid":true,"Metadata":{"current_value":46.62499999999999,"trend":0}}
E0930 22:50:11.150610 1 controller.go:316] "msg"="Reconciler error" "error"="failed to apply scaling for Deployment/default/mock-llama2-7b: Operation cannot be fulfilled on deployments.apps \"mock-llama2-7b\": the object has been modified; please apply your changes to the latest version and try again" "PodAutoscaler"={"name":"podautoscaler-mock-llama2-7b","namespace":"default"} "controller"="podautoscaler" "controllerGroup"="autoscaling.aibrix.ai" "controllerKind"="PodAutoscaler" "name"="podautoscaler-mock-llama2-7b" "namespace"="default" "reconcileID"="8b5a5f2b-7586-46c1-91e1-896bc81b29d4"
I0930 22:50:11.197372 1 autoscaler.go:269] "Collecting metrics" source="default/podautoscaler-mock-llama2-7b" total pods=10 metrics available pods=10
I0930 22:50:11.197393 1 autoscaler.go:273] "Processing metrics snapshot" source="default/podautoscaler-mock-llama2-7b" values=[26,35,59,71,17,70,98,80,68,17]
I0930 22:50:11.197405 1 autoscaler.go:298] "Metrics aggregated" currentValue=46.5875 trend=0 confidence=0 podCount=10
I0930 22:50:11.197414 1 autoscaler.go:320] "Computing scaling recommendation" source="default/podautoscaler-mock-llama2-7b" algorithm="apa"
I0930 22:50:11.197427 1 autoscaler.go:326] "Scaling recommendation computed" source="default/podautoscaler-mock-llama2-7b" algorithm="apa" recommendation={"DesiredReplicas":6,"Confidence":0,"Reason":"apa scaling based on current metrics","Algorithm":"apa","ScaleValid":true,"Metadata":{"current_value":46.5875,"trend":0}}
I0930 22:50:11.205956 1 podautoscaler_controller.go:523] "Successfully rescaled" PodAutoscaler="default/podautoscaler-mock-llama2-7b" currentReplicas=7 desiredReplicas=6 reason="All metrics below target"
I0930 22:50:11.254147 1 autoscaler.go:269] "Collecting metrics" source="default/podautoscaler-mock-llama2-7b" total pods=10 metrics available pods=10
I0930 22:50:11.254169 1 autoscaler.go:273] "Processing metrics snapshot" source="default/podautoscaler-mock-llama2-7b" values=[68,76,12,47,53,30,56.00000000000001,42,5,68]
I0930 22:50:11.254181 1 autoscaler.go:298] "Metrics aggregated" currentValue=45.5375 trend=0 confidence=0 podCount=10
I0930 22:50:11.254191 1 autoscaler.go:320] "Computing scaling recommendation" source="default/podautoscaler-mock-llama2-7b" algorithm="apa"
I0930 22:50:11.254205 1 autoscaler.go:326] "Scaling recommendation computed" source="default/podautoscaler-mock-llama2-7b" algorithm="apa" recommendation={"DesiredReplicas":5,"Confidence":0,"Reason":"apa scaling based on current metrics","Algorithm":"apa","ScaleValid":true,"Metadata":{"current_value":45.5375,"trend":0}}
```

### Steps to Reproduce

update hpa configuration

### Expected behavior

It should be stabilized

### Environment

nightly