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Minimize an unweighted value

elite-soft-json-viewer
Code Block
languagejs
collapsetrue
{  
         "minimize":{  
            "attribute":  
               {  
                  "distance_between":[  
                     "customer_loc",
                     "vG"
                  ]
               }
         }
 }

...

Minimize a weighted value


Code Block
languagejs
collapsetrue
{
    
JSON Viewer

{ 
"minimize": { 

        "attribute": 
{
            "product": [
   
200, 
{             200,
                {
                    "distance_between": [ 
"customer_loc",
"vG"
]}
]
}
}
}

Maximize an unweighted value

JSON Viewer
{ 
"maximize":{ 
"attribute": 
{ 
"reliability":[ 
"URLLC"
]
}
}
}

Maximize a weighted value

JSON Viewer
{ 
"minimize":{ 
"attribute": 
{
"product":[ 
200, 
{"reliability":[ 
"URLLC"
]}
]
}
}
}

Minimize the sum of unweighted values

JSON Viewer
{ 
"minimize":{ 
"sum":[ 
{ 
"distance_between":[ 
"customer_loc",
"vG"
]
},
{ 
"distance_between":[ 
"customer_loc",
"vG"
]
}
]
}
}

Minimize the sum of weighted values

JSON Viewer
{
"minimize": {
"sum": [
{
"product": [
100,
{
"distance_between": [
"customer_loc",
"vG"
]
}
]
},
{
"product": [
200,
{
"hpa_score": [
"vG"
]
}
]
}
]
}
}

New Optimization Model

...

Objective function object

...

sum, min, max

...

List of operand object

...

The operand on which the operation is to be performed.

The operand can be an attribute or result of a function 


                        "customer_loc",
                        "vG"
                    ]
                }
            ]
        }
    }
}



Maximize an unweighted value

Code Block
languagejs
{
    "maximize": {
        "attribute": {
            "reliability": [
                "URLLC"
            ]
        }
    }
}



Maximize a weighted value


Code Block
languagejs
collapsetrue
{
    "maximize": {
        "attribute": {
            "product": [
                200,
                {
                    "reliability": [
                        "URLLC"
                    ]
                }
            ]
        }
    }
}


Minimize the sum of unweighted values

Code Block
languagejs
collapsetrue
{
    "minimize": {
        "sum": [
            {
                "distance_between": [
                    "customer_loc",
                    "vG"
                ]
            },
            {
                "distance_between": [
                    "customer_loc",
                    "vG"
       

operand object

...

distance_between,

latency_between, attribute

...

parameters on which the function will be applied.

The parameters will change for each function.

Examples

Scenario:

Scenario: 

objective function - distance_between(demand, location) + distance_between(demand, location)

JSON Viewer
{
   "goal": "minimize",
   "objective_function": {
      "operation": "sum",
      "operands": [
         {]
            "function": "distance_between",}
        ]
    "weight": 1.0,
        }
}


Minimize the sum of weighted values


Code Block
languagejs
collapsetrue
{
    "paramsminimize": {
        "sum": [
        "demand": "vG",    {
                "locationproduct": "customer_loc" [
       
            } 100,
         },
           {
 	        "function": "distance_between",
              "weightdistance_between": 1.0,[
            "params": {
               "demand": "vFW",
customer_loc",
                            "location": "customer_loc"vG"
           
            } ]
         }
        ]
   }
}

Scenario: 

objective function - latency(demand) + latency(demand)

JSON Viewer
{                ]
   "goal": "minimize",
   "objective_function": {
   "operation": "sum" },
   "operands": [
         {
         "function       "product": "attribute",[
         "weight": 1.0,
         "params": {
 200,
               "demand": "urllc_core",
    {
        "attribute": "latency"      
         } "hpa_score": [
      },
      {
         "function": "attribute",
       "vG"
          "weight": 1.0,
             "params": {]
            "demand": "urllc_ran",
       }
     "attribute": "latency"      
    ]
     } 
      }
        ]
    }
}

Scenario: 

Max  [ sum ( W_bw *  min (ran_nssi_bw, core_nssi_bw, tr_nssi_bw), 1/(W_lat * ( sum (w1 * ran_nssi_lat, w2 core_lat, W3* tn_lat)) ) ]





New Optimization Model


AttributeRequiredContentValuesDescription
goalYStringminimize, maximizeThe goal of the optimization
objective_functionYObjective function Object
The objective function that has to be optimized


Objective function object

AttributeRequiredContentValuesDescription
operationNString

sum, min, max

The operation which will be a part of the objective function
operandsN

List of operand object


The operand on which the operation is to be performed.

The operand can be an attribute or result of a function 

operand object

AttributeRequiredContentValuesDescription
weightNdecimaldefault: 1.0Weight of the operand
objective_functionNObjective function object

functionNString

distance_between,

latency_between, attribute

Function to be performed on the parameters
fucntion_paramsNdict

parameters on which the function will be applied.

The parameters will change for each function.


Examples


Scenario:




Scenario: 

objective function - distance_between(demand, location) + distance_between(demand, location)


Code Block
languagejs
collapsetrue
{
   "goal": "minimize",
   "objective_function": {
      "operation": "sum",
      "operands": [
Code Block
languagejs
collapsetrue
{
   "goal": "maximize",
   "objective_function": {
   "operation": "sum",
   "operands": [
      {
         "objective_function": {
             "operation": "min",
             "operand": [
                 {
                      "weight": 1.0,
                      "function": "attribute",
                      "params": {
                         "demand": "urllc_core",
                         "attribute": "throughput"
                      }
                 },
                 {
                      "weight": 1.0,
                      "function": "attribute",
                      "params": {
                         "demand": "urllc_ran",
                         "attribute": "throughput"
                      }
                 },
                 {
                      "weight": 1.0,
                      "function": "attribute",
                      "params": {
                         "demand": "urllc_transport",
                         "attribute": "throughput"
                      }
                 }
             ]
         },
         "weight": 2.0 
      },
      {
         "objective_function": {
             "operation": "sum",
             "operand": [
                 {
                     "weight": 1.0,
                     "function": "attribute",
                     "params": {
             {
            "demandfunction": "urllcdistance_corebetween",
                         "attribute"weight": "latency"1.0,
                 "params": {
     }
          "demand": "vG",
      },
         "location": "customer_loc"       {
            } 
        "weight": 1.0 },
         {
    	        "function": "attributedistance_between",
            "weight": 1.0,
        "params": {
        "params": {
                 "demand": "urllc_ranvFW",
               "location": "customer_loc"      
   "attribute": "latency"
         } 
         }
      ]
    }}
}


Scenario: 

objective function - latency(demand) + latency(demand)


elite-soft-json-viewer
Code Block
languagejs
collapsetrue
{
   "goal": "minimize",
   "objective_function": {
         }"operation": "sum",
          "operands": [
       {
         "function": "attribute",
           "weight": 1.0,
         "params": {
            "functiondemand": "attributeurllc_core",
            "attribute": "latency"      
  "params": {
      } 
      },
      {
         "demandfunction": "urllc_transportattribute",
                "weight": 1.0,
         "attributeparams": "latency"{
            "demand": "urllc_ran",
         }
          "attribute": "latency"      }
         } 
   ]
   }
      },
         "weight": 1.0
      }
   ]
 }
}
]
 }
}


Scenario: 

Max  [ sum ( W_bw *  min (ran_nssi_bw, core_nssi_bw, tr_nssi_bw), 1/(W_lat * ( sum (w1 * ran_nssi_lat, w2 core_lat, W3* tn_lat)) ) ]

Code Block
languagejs
collapsetrue
{
   "goal": "maximize",
   "objective_function": {
   "operation": "sum",
   "operands": [
      {
         "objective_function": {
             "operation": "min",
             "operand": [
                 {
                      "weight": 1.0,
                      "function": "attribute",
                      "params": {
                         "demand": "urllc_core",
                         "attribute": "throughput"
                      }
                 },
                 {
                      "weight": 1.0,
                      "function": "attribute",
                      "params": {
                         "demand": "urllc_ran",
                         "attribute": "throughput"
                      }
                 },
                 {
                      "weight": 1.0,
                      "function": "attribute",
                      "params": {
                         "demand": "urllc_transport",
                         "attribute": "throughput"
                      }
                 }
             ]
         },
         "weight": 2.0 
      },
      {
         "objective_function": {
             "operation": "sum",
             "operand": [
                 {
                     "weight": 1.0,
                     "function": "attribute",
                     "params": {
                         "demand": "urllc_core",
                         "attribute": "latency"
                      }
                 },
                 {
                     "weight": 1.0,
                     "function": "attribute",
                     "params": {
                         "demand": "urllc_ran",
                         "attribute": "latency"
                      }
                 },
                 {
                     "weight": 1.0,
                     "function": "attribute",
                     "params": {
                         "demand": "urllc_transport",
                         "attribute": "latency"
                      }
                 }
             ]
         },
         "weight": 1.0
      }
   ]
 }
}

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