分享我的协同优化的成果——HeartDiople和海沟问题
HeartDIople问题的迭代次数很多,得到的解也不是那么理想,可能是初始值的原因。其中第一组数据解是:
Execution Results Summary
Start time: Mon May 29 21:15:25 WST 2006
End time: Mon May 29 22:25:56 WST 2006
Task: HeartDiopleCO
Total runs: 99
Feasible runs: 0
Infeasible runs: 99
Failed runs: 0
Database file: HeartDiopleCO.db
Optimization Plan: NewPlan
Executed between RunCounter 1 and 99 (99 runs)
Techniques used:
Step1: Sequential Quadratic Programming - DONLP
Best design: currently previously
--------------------------------------------------------------------
RunCounter 73 1
ObjectiveAndPenalty 4495.16432085206 48369682.8357491
Objective 48.525598989361 2625.75
Penalty 4446.6387218627 48367057.0857491
Best design ObjectiveAndPenalty value improved by
48365187.67 (99.99%) after executing this Optimization Plan
Best design parameter values:
z6 = 1.87059601535712
z7 = -1.58602535552925
z8 = -1.44375504429812
z1 = 8.44674965102361
z2 = -9.05310286535493
z3 = -0.484396997889745
z4 = 3.06553247208648
z5 = 1.64978851836841
J2 = 0.51435308963862 (violates UpperBound=0.01)
J1 = 0.129861198798801 (violates UpperBound=0.01)
f6 = 14.9323407457401
f7 = 5.30202171054587
minF = 48.525598989361
f8 = 30.332780060864
f5 = -2.04154352778901(violates LowerBound=0.0)
第二组为:
Execution Results Summary
Start time: Tue May 30 08:53:20 WST 2006
End time: Tue May 30 14:02:47 WST 2006
Task: HeartDiopleCO
Total runs: 505
Feasible runs: 0
Infeasible runs: 505
Failed runs: 0
Database file: HeartDiopleCO.db
Optimization Plan: NewPlan
Executed between RunCounter 1 and 505 (505 runs)
Techniques used:
Step1: Sequential Quadratic Programming - DONLP
Best design: currently previously
--------------------------------------------------------------------
RunCounter 500 1
ObjectiveAndPenalty 55.0088823824952 98255722282.08
Objective -0.0127854814708845 -7670.0
Penalty 55.0216678639661 98255729952.08
Best design ObjectiveAndPenalty value improved by
9.825572223e+010 (100.0%) after executing this Optimization Plan
Best design parameter values:
z6 = 0.66769786750296
z7 = -0.251870457677615
z8 = 0.35181940505958
z1 = 6.99997489586061
z2 = -7.97891666262143
z3 = 1.16246305596222
z4 = 0.782198682612054
z5 = 1.05256347680304
J2 = 0.0145301822232409(violates UpperBound=0.01)
J1 = 0.221339124462653 (violates UpperBound=0.01)
f6 = 0.00587646539609032
f7 = -0.0156707222170347 (violates LowerBound=0.0)
minF = -0.0127854814708845
f8 = 0.00656640317008339
f5 = -0.00955762782002356 (violates LowerBound=0.0)
源程序为:
MDOLVersion: 8.0
CompilerOptions: warn
Task HeartDiopleCO
TaskHeader HeartDiopleCO
Version: 1.0
Evaluation: taskplan
ControlMode: user
RunCounter: 1
BoundsPolicy: adjustvalue
CheckPoint: unknown
End TaskHeader HeartDiopleCO
Inputs HeartDiopleCO
Parameter: z6 Type: real InitialValue: -10.0
Parameter: z7 Type: real InitialValue: 2.0
Parameter: z8 Type: real InitialValue: 3.0
Parameter: z1 Type: real InitialValue: 8.0
Parameter: z2 Type: real InitialValue: -8.0
Parameter: z3 Type: real InitialValue: 1.0
Parameter: z4 Type: real InitialValue: 5.0
Parameter: z5 Type: real InitialValue: 4.0
End Inputs HeartDiopleCO
Outputs HeartDiopleCO
Parameter: J2 Type: real
Parameter: J1 Type: real
Parameter: f6 Type: real
Parameter: f7 Type: real
Parameter: minF Type: real
Parameter: f8 Type: real
Parameter: f5 Type: real
End Outputs HeartDiopleCO
Calculations HeartDiopleCO
Calculation Calculation5
Parameters
z6 z7 z8 z1 z2 z3 z4 z5 f6 f7
minF f8 f5
Statements
f5 = z1*(z5^2-z7^2)-2*z3*z5*z7+z2*(z6^2-z8^2)-2*z4*z6*z8-5.0
f6 = z3*(z5^2-z7^2)+2*z1*z5*z7+z4*(z6^2-z8^2)+2*z2*z6*z8+6.0
f7=z1*z5*(z5^2-3*z7^2)+z3*z7*(z7^2-3*z5^2)+z2*z6*(z6^2-3*z8^2)+z4*z8*(z8^2-3*z6^2)-7
f8=z3*z5*(z5^2-3*z7^2)-z1*z7*(z7^2-3*z5^2)+z4*z6*(z6^2-3*z8^2)-z2*z8*(z8^2-3*z6^2)+8
minF=f5+f6+f7+f8
End Statements
End Calculation Calculation5
End Calculations HeartDiopleCO
Task output28
TaskHeader output28
Version: 1.0
Evaluation: taskplan
ControlMode: user
RunCounter: 1
BoundsPolicy: adjustvalue
CheckPoint: unknown
End TaskHeader output28
Inputs output28
Parameter: z6 Type: real InitialValue: 1.8705959911958
Parameter: z7 Type: real InitialValue: -1.58718411550964
Parameter: z8 Type: real InitialValue: -1.44375507956317
Parameter: x1 Type: real InitialValue: 5.0
Parameter: x3 Type: real InitialValue: 2.0
Parameter: z1 Type: real InitialValue: 8.44674964678718
Parameter: x4 Type: real InitialValue: 1.0
Parameter: z2 Type: real InitialValue: -9.05310287720698
Parameter: x5 Type: real InitialValue: -1.0
Parameter: z3 Type: real InitialValue: -0.484397005726966
Parameter: x6 Type: real InitialValue: 2.0
Parameter: z4 Type: real InitialValue: 3.06553246855229
Parameter: x7 Type: real InitialValue: -3.0
Parameter: z5 Type: real InitialValue: 1.64978849482124
End Inputs output28
Outputs output28
Parameter: x8 Type: real
Parameter: J1 Type: real
Parameter: x2 Type: real
End Outputs output28
Calculations output28
Calculation Calculation3
Parameters
z6 z7 z8 x1 x3 z1 x4 z2 x5 z3
x6 z4 x7 z5 x8 x2 J1
Statements
x2 = -1-x1
x8=(x5*x1+x6*x2-x7*x3+3)/x4
J1=(x1-z1)^2+(x2-z2)^2+(x3-z3)^2+(x4-z4)^2+(x5-z5)^2+(x6-z6)^2+(x7-z7)^2+(x8-z8)^2
End Statements
End Calculation Calculation3
End Calculations output28
TaskProcess output28
Control: [
Calculation3
]
End TaskProcess output28
Optimization output28
PotentialVariables:
z6 z7 z8 x1 x3 z1 x4 z2 x5 z3
x6 z4 x7 z5
Variables:
x1 x3 x4 x5 x6 x7
VariableScaling
Parameter: z6 ScaleFactor: 1.0
Parameter: z7 ScaleFactor: 1.0
Parameter: z8 ScaleFactor: 1.0
Parameter: x1 ScaleFactor: 10.0
Parameter: x3 ScaleFactor: 10.0
Parameter: z1 ScaleFactor: 1.0
Parameter: x4 ScaleFactor: 10.0
Parameter: z2 ScaleFactor: 1.0
Parameter: x5 ScaleFactor: 10.0
Parameter: z3 ScaleFactor: 1.0
Parameter: x6 ScaleFactor: 10.0
Parameter: z4 ScaleFactor: 1.0
Parameter: x7 ScaleFactor: 10.0
Parameter: z5 ScaleFactor: 1.0
InputConstraints
Parameter: x1 LowerBound: -100.0 UpperBound: 100.0
Parameter: x3 LowerBound: -100.0 UpperBound: 100.0
Parameter: x4 LowerBound: -100.0 UpperBound: 100.0
Parameter: x5 LowerBound: -100.0 UpperBound: 100.0
Parameter: x6 LowerBound: -100.0 UpperBound: 100.0
Parameter: x7 LowerBound: -100.0 UpperBound: 100.0
PotentialObjectives:
z6 z7 z8 x1 x3 z1 x4 z2 x5 z3
x6 z4 x7 z5 x8 J1 x2
Objectives
Parameter: J1 Direction: minimize Weight: 1.0 ScaleFactor: 1e-3
OutputConstraints
Parameter: x8 LowerBound: -100.0 Weight: 1.0 ScaleFactor: 1.0 UpperBound: 100.0 Weight: 1.0 ScaleFactor: 1.0
Parameter: x2 LowerBound: -100.0 Weight: 1.0 ScaleFactor: 1.0 UpperBound: 100.0 Weight: 1.0 ScaleFactor: 1.0
OptimizePlan NewPlan
DefaultUpperBound: 1.0E15
UseScaling: yes
OptimizeStep Step1
Technique: "Generalized Reduced Gradient - LSGRG2"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
MaxIterations: 100
OptimizeStep Step2
Technique: "Hooke-Jeeves Direct Search Method"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
Control: [
Step1
Step2
]
# PLAN TO BE CONFIGURED BY ADVISOR:
OptimizePlan PriorityRankedPlan
Control: [
]
End Optimization output28
TaskPlan output28
StopTaskPlanOnError: no
Control: [
Tcl
api_UnsetBestRunInfo
api_SetRunCounter 1
End Tcl
NewPlan
]
End TaskPlan output28
DataStorage output28
Restore: no
DataLog: "output28.db" Mode: append
DataLookUp: "output28.db"
MatchMode: Exact
Levels: betteronly
StoreGradRuns: yes
StoreApproxRuns: yes
End DataStorage output28
End Task output28
Task output35
TaskHeader output35
Version: 1.0
Evaluation: taskplan
ControlMode: user
RunCounter: 1
BoundsPolicy: adjustvalue
CheckPoint: unknown
End TaskHeader output35
Inputs output35
Parameter: x8 Type: real InitialValue: 2.0
Parameter: x4 Type: real InitialValue: 4.0
Parameter: x1 Type: real InitialValue: -10.0
Parameter: x6 Type: real InitialValue: 2.0
Parameter: x2 Type: real InitialValue: -10.0
Parameter: x7 Type: real InitialValue: -2.0
Parameter: z6 Type: real InitialValue: 1.8705959911958
Parameter: z7 Type: real InitialValue: -1.58718411550964
Parameter: z8 Type: real InitialValue: -1.44375507956317
Parameter: z1 Type: real InitialValue: 8.44674964678718
Parameter: z2 Type: real InitialValue: -9.05310287720698
Parameter: z3 Type: real InitialValue: -0.484397005726966
Parameter: z4 Type: real InitialValue: 3.06553246855229
Parameter: z5 Type: real InitialValue: 1.64978849482124
End Inputs output35
Outputs output35
Parameter: x5 Type: real
Parameter: x3 Type: real
Parameter: J2 Type: real
End Outputs output35
Calculations output35
Calculation Calculation4
Parameters
z6 x8 z7 z8 x1 x2 z1 x4 z2 z3
x6 z4 z5 x7 J2 x5 x3
Statements
x3 = 2-x4
x5=(-4-x1*x7-x2*x8-x4*x6)/x3
J2=(x1-z1)^2+(x2-z2)^2+(x3-z3)^2+(x4-z4)^2+(x5-z5)^2+(x6-z6)^2+(x7-z7)^2+(x8-z8)^2
End Statements
End Calculation Calculation4
End Calculations output35
TaskProcess output35
Control: [
Calculation4
]
End TaskProcess output35
Optimization output35
PotentialVariables:
x8 x4 x1 x6 x2 x7 z6 z7 z8 z1
z2 z3 z4 z5
Variables:
x8 x4 x1 x6 x2 x7
VariableScaling
Parameter: x8 ScaleFactor: 10.0
Parameter: x4 ScaleFactor: 10.0
Parameter: x1 ScaleFactor: 10.0
Parameter: x6 ScaleFactor: 10.0
Parameter: x2 ScaleFactor: 10.0
Parameter: x7 ScaleFactor: 10.0
Parameter: z6 ScaleFactor: 1.0
Parameter: z7 ScaleFactor: 1.0
Parameter: z8 ScaleFactor: 1.0
Parameter: z1 ScaleFactor: 1.0
Parameter: z2 ScaleFactor: 1.0
Parameter: z3 ScaleFactor: 1.0
Parameter: z4 ScaleFactor: 1.0
Parameter: z5 ScaleFactor: 1.0
InputConstraints
Parameter: x8 LowerBound: -100.0 UpperBound: 100.0
Parameter: x4 LowerBound: -100.0 UpperBound: 100.0
Parameter: x1 LowerBound: -100.0 UpperBound: 100.0
Parameter: x6 LowerBound: -100.0 UpperBound: 100.0
Parameter: x2 LowerBound: -100.0 UpperBound: 100.0
Parameter: x7 LowerBound: -100.0 UpperBound: 100.0
PotentialObjectives:
x8 x4 x1 x6 x2 x7 z6 z7 z8 z1
z2 z3 z4 z5 x5 x3 J2
Objectives
Parameter: J2 Direction: minimize Weight: 1.0 ScaleFactor: 1e-3
OutputConstraints
Parameter: x5 LowerBound: -100.0 Weight: 1.0 ScaleFactor: 1.0 UpperBound: 100.0 Weight: 1.0 ScaleFactor: 1.0
Parameter: x3 LowerBound: -100.0 Weight: 1.0 ScaleFactor: 1.0 UpperBound: 100.0 Weight: 1.0 ScaleFactor: 1.0
OptimizePlan NewPlan
DefaultUpperBound: 1.0E15
UseScaling: yes
OptimizeStep Step1
Technique: "Generalized Reduced Gradient - LSGRG2"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
MaxIterations: 100
OptimizeStep Step2
Technique: "Hooke-Jeeves Direct Search Method"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
Control: [
Step1
Step2
]
# PLAN TO BE CONFIGURED BY ADVISOR:
OptimizePlan PriorityRankedPlan
Control: [
]
End Optimization output35
TaskPlan output35
StopTaskPlanOnError: no
Control: [
Tcl
api_UnsetBestRunInfo
api_SetRunCounter 1
End Tcl
NewPlan
]
End TaskPlan output35
DataStorage output35
Restore: no
DataLog: "output35.db" Mode: append
DataLookUp: "output35.db"
MatchMode: Exact
Levels: betteronly
StoreGradRuns: yes
StoreApproxRuns: yes
End DataStorage output35
End Task output35
TaskProcess HeartDiopleCO
Control: [
Sequential [
Parallel [ output28 output35 ]
Calculation5
]
]
SubTask output28
InputToSubtask
Send:
z1 z2 z3 z4 z5 z6 z7 z8
OutputFromSubtask
Receive:
J1
End SubTask output28
SubTask output35
InputToSubtask
Send:
z1 z2 z3 z4 z5 z6 z7 z8
OutputFromSubtask
Receive:
J2
End SubTask output35
End TaskProcess HeartDiopleCO
Optimization HeartDiopleCO
PotentialVariables:
z6 z7 z8 z1 z2 z3 z4 z5
Variables:
z6 z7 z8 z1 z2 z3 z4 z5
VariableScaling
Parameter: z6 ScaleFactor: 10.0
Parameter: z7 ScaleFactor: 10.0
Parameter: z8 ScaleFactor: 10.0
Parameter: z1 ScaleFactor: 10.0
Parameter: z2 ScaleFactor: 10.0
Parameter: z3 ScaleFactor: 10.0
Parameter: z4 ScaleFactor: 10.0
Parameter: z5 ScaleFactor: 10.0
InputConstraints
Parameter: z6 LowerBound: -100.0 UpperBound: 100.0
Parameter: z7 LowerBound: -100.0 UpperBound: 100.0
Parameter: z8 LowerBound: -100.0 UpperBound: 100.0
Parameter: z1 LowerBound: -100.0 UpperBound: 100.0
Parameter: z2 LowerBound: -100.0 UpperBound: 100.0
Parameter: z3 LowerBound: -100.0 UpperBound: 100.0
Parameter: z4 LowerBound: -100.0 UpperBound: 100.0
Parameter: z5 LowerBound: -100.0 UpperBound: 100.0
PotentialObjectives:
z6 z7 z8 z1 z2 z3 z4 z5 J2 J1
f6 f7 minF f8 f5
Objectives
Parameter: minF Direction: minimize Weight: 1.0 ScaleFactor: 1.0
OutputConstraints
Parameter: J2 UpperBound: 0.01 Weight: 1.0 ScaleFactor: 1.0
Parameter: J1 UpperBound: 0.01 Weight: 1.0 ScaleFactor: 1.0
Parameter: f6 LowerBound: 0.0 Weight: 1.0 ScaleFactor: 1.0
Parameter: f7 LowerBound: 0.0 Weight: 1.0 ScaleFactor: 1.0
Parameter: f8 LowerBound: 0.0 Weight: 1.0 ScaleFactor: 1.0
Parameter: f5 LowerBound: 0.0 Weight: 1.0 ScaleFactor: 1.0
OptimizePlan NewPlan
DefaultUpperBound: 1.0E15
UseScaling: yes
OptimizeStep Step1
Technique: "Sequential Quadratic Programming - DONLP"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
Maxiter: 100
Control: [
Step1
]
# PLAN TO BE CONFIGURED BY ADVISOR:
OptimizePlan PriorityRankedPlan
Control: [
]
End Optimization HeartDiopleCO
TaskPlan HeartDiopleCO
StopTaskPlanOnError: no
Control: [
Tcl
api_UnsetBestRunInfo
api_SetRunCounter 1
End Tcl
NewPlan
]
End TaskPlan HeartDiopleCO
DataStorage HeartDiopleCO
Restore: no
DataLog: "HeartDiopleCO.db" Mode: append
DataLookUp: "HeartDiopleCO.db"
MatchMode: Exact
Levels: all
StoreGradRuns: yes
StoreApproxRuns: yes
End DataStorage HeartDiopleCO
End Task HeartDiopleCO
另海沟的例子(较为简单)
MDOLVersion: 8.0
CompilerOptions: warn
Task RosenbrockvalleyCO
TaskHeader RosenbrockvalleyCO
Version: 1.0
Evaluation: taskplan
ControlMode: user
RunCounter: 1
BoundsPolicy: adjustvalue
CheckPoint: unknown
End TaskHeader RosenbrockvalleyCO
Inputs RosenbrockvalleyCO
Parameter: z2 Type: real InitialValue: 0.0
Parameter: z1 Type: real InitialValue: 0.0
End Inputs RosenbrockvalleyCO
Outputs RosenbrockvalleyCO
Parameter: J1 Type: real
Parameter: J2 Type: real
Parameter: F Type: real
End Outputs RosenbrockvalleyCO
Task Outputy21
TaskHeader Outputy21
Version: 1.0
Evaluation: taskplan
ControlMode: user
RunCounter: 1
BoundsPolicy: adjustvalue
CheckPoint: unknown
End TaskHeader Outputy21
Inputs Outputy21
Parameter: z2 Type: real InitialValue: 0.0
Parameter: x1 Type: real InitialValue: 0.0
Parameter: x2 Type: real InitialValue: 0.0
Parameter: z1 Type: real InitialValue: 0.0
End Inputs Outputy21
Outputs Outputy21
Parameter: y21 Type: real
Parameter: J1 Type: real
End Outputs Outputy21
Calculations Outputy21
Calculation Calculation3
Parameters
z2 x1 x2 z1 y21 J1
Statements
y21=100*(x2-x1^2)^2
J1=(x1-z1)^2+(y21-z2)^2
End Statements
End Calculation Calculation3
End Calculations Outputy21
TaskProcess Outputy21
Control: [
Calculation3
]
End TaskProcess Outputy21
Optimization Outputy21
PotentialVariables:
z2 x1 x2 z1
Variables:
x1 x2
VariableScaling
Parameter: z2 ScaleFactor: 1.0
Parameter: x1 ScaleFactor: 1.0
Parameter: x2 ScaleFactor: 1.0
Parameter: z1 ScaleFactor: 1.0
InputConstraints
Parameter: x1 LowerBound: -10.0 UpperBound: 10.0
Parameter: x2 LowerBound: -10.0 UpperBound: 10.0
PotentialObjectives:
z2 x1 x2 z1 y21 J1
Objectives
Parameter: J1 Direction: minimize Weight: 1.0 ScaleFactor: 1.0
OptimizePlan NewPlan
DefaultUpperBound: 1.0E15
UseScaling: yes
OptimizeStep Step1
Technique: "Generalized Reduced Gradient - LSGRG2"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
MaxIterations: 100
ConvergenceEpsilon: 1e-6
Control: [
Step1
]
# PLAN TO BE CONFIGURED BY ADVISOR:
OptimizePlan PriorityRankedPlan
Control: [
]
End Optimization Outputy21
TaskPlan Outputy21
StopTaskPlanOnError: no
Control: [
Tcl
api_SetRunCounter 1
api_UnsetBestRunInfo
End Tcl
NewPlan
]
End TaskPlan Outputy21
DataStorage Outputy21
Restore: no
DataLog: "Outputy21.db" Mode: append
DataLookUp: "Outputy21.db"
MatchMode: Exact
Levels: betteronly
StoreGradRuns: yes
StoreApproxRuns: yes
End DataStorage Outputy21
End Task Outputy21
Task OutputF
TaskHeader OutputF
Version: 1.0
Evaluation: taskplan
ControlMode: user
RunCounter: 1
BoundsPolicy: adjustvalue
CheckPoint: unknown
End TaskHeader OutputF
Inputs OutputF
Parameter: z2 Type: real InitialValue: 0.0
Parameter: y21 Type: real InitialValue: 0.0
Parameter: x1 Type: real InitialValue: 0.0
Parameter: z1 Type: real InitialValue: 0.0
End Inputs OutputF
Outputs OutputF
Parameter: J2 Type: real
Parameter: F Type: real
End Outputs OutputF
Calculations OutputF
Calculation Calculation4
Parameters
z2 y21 x1 z1 J2 F
Statements
F=y21+(1-x1)^2
J2=(x1-z1)^2+(y21-z2)^2
End Statements
End Calculation Calculation4
End Calculations OutputF
TaskProcess OutputF
Control: [
Calculation4
]
End TaskProcess OutputF
Optimization OutputF
PotentialVariables:
z2 y21 x1 z1
Variables:
y21 x1
VariableScaling
Parameter: z2 ScaleFactor: 1.0
Parameter: y21 ScaleFactor: 1.0
Parameter: x1 ScaleFactor: 1.0
Parameter: z1 ScaleFactor: 1.0
InputConstraints
Parameter: y21 LowerBound: 0.0
Parameter: x1 LowerBound: -10.0 UpperBound: 10.0
PotentialObjectives:
z2 y21 x1 z1 J2 F
Objectives
Parameter: J2 Direction: minimize Weight: 1.0 ScaleFactor: 1.0
OptimizePlan NewPlan
DefaultUpperBound: 1.0E15
UseScaling: yes
OptimizeStep Step1
Technique: "Generalized Reduced Gradient - LSGRG2"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
MaxIterations: 100
ConvergenceEpsilon: 1e-6
Control: [
Step1
]
# PLAN TO BE CONFIGURED BY ADVISOR:
OptimizePlan PriorityRankedPlan
Control: [
]
End Optimization OutputF
TaskPlan OutputF
StopTaskPlanOnError: no
Control: [
NewPlan
Tcl
api_UnsetBestRunInfo
api_SetRunCounter 1
End Tcl
]
End TaskPlan OutputF
DataStorage OutputF
Restore: no
DataLog: "OutputF.db" Mode: append
DataLookUp: "OutputF.db"
MatchMode: Exact
Levels: betteronly
StoreGradRuns: yes
StoreApproxRuns: yes
End DataStorage OutputF
End Task OutputF
TaskProcess RosenbrockvalleyCO
Control: [
Parallel [ Outputy21 OutputF ]
]
SubTask Outputy21
InputToSubtask
Send:
z1 z2
OutputFromSubtask
Receive:
J1
End SubTask Outputy21
SubTask OutputF
InputToSubtask
Send:
z1 z2
OutputFromSubtask
Receive:
F J2
End SubTask OutputF
End TaskProcess RosenbrockvalleyCO
Optimization RosenbrockvalleyCO
PotentialVariables:
z2 z1
Variables:
z2 z1
VariableScaling
Parameter: z2 ScaleFactor: 1.0
Parameter: z1 ScaleFactor: 1.0
InputConstraints
Parameter: z2 LowerBound: 0.0
Parameter: z1 LowerBound: -10.0 UpperBound: 10.0
PotentialObjectives:
z2 z1 J1 J2 F
Objectives
Parameter: F Direction: minimize Weight: 1.0 ScaleFactor: 1.0
OutputConstraints
Parameter: J1 UpperBound: 0.01 Weight: 1.0 ScaleFactor: 1.0
Parameter: J2 UpperBound: 0.01 Weight: 1.0 ScaleFactor: 1.0
OptimizePlan NewPlan
DefaultUpperBound: 1.0E15
UseScaling: yes
OptimizeStep Step1
Technique: "Sequential Quadratic Programming - DONLP"
Prologue
RestoreBestSolution: no
RerunTask: no
Epilogue
RestoreBestSolution: yes
RerunTask: no
Options
Maxiter: 100
Control: [
Step1
]
# PLAN TO BE CONFIGURED BY ADVISOR:
OptimizePlan PriorityRankedPlan
Control: [
]
End Optimization RosenbrockvalleyCO
TaskPlan RosenbrockvalleyCO
StopTaskPlanOnError: no
Control: [
Tcl
api_UnsetBestRunInfo
api_SetRunCounter 1
End Tcl
NewPlan
]
End TaskPlan RosenbrockvalleyCO
DataStorage RosenbrockvalleyCO
Restore: no
DataLog: "RosenbrockvalleyCO.db" Mode: append
DataLookUp: "RosenbrockvalleyCO.db"
MatchMode: Exact
Levels: all
StoreGradRuns: yes
StoreApproxRuns: yes
End DataStorage RosenbrockvalleyCO
End Task RosenbrockvalleyCO
//
结果为:
End time: Mon May 29 19:22:44 WST 2006
Task: RosenbrockvalleyCO
Total runs: 7
Feasible runs: 7
Infeasible runs: 0
Failed runs: 0
Database file: RosenbrockvalleyCO.db
Optimization Plan: NewPlan
Executed between RunCounter 1 and 7 (7 runs)
Techniques used:
Step1: Sequential Quadratic Programming - DONLP
Best design: currently previously
--------------------------------------------------------------------
RunCounter 5 1
ObjectiveAndPenalty 2.49999998050393e-0091.0
Objective 2.49999998050393e-0091.0
Penalty 0.0 0.0
Best design ObjectiveAndPenalty value improved by
0.9999999975 (100.0%) after executing this Optimization Plan
Best design parameter values:
z2 = 1.00000000002676e-006
z1 = 0.999950000000194
J1 = 6.25766180395944e-008
J2 = 1.00000000005352e-012
F= 2.49999998050393e-009
第二组为;
Execution Results Summary
Start time: Mon May 29 19:25:55 WST 2006
End time: Mon May 29 19:26:29 WST 2006
Task: RosenbrockvalleyCO
Total runs: 7
Feasible runs: 7
Infeasible runs: 0
Failed runs: 0
Database file: RosenbrockvalleyCO.db
Optimization Plan: NewPlan
Executed between RunCounter 1 and 7 (7 runs)
Techniques used:
Step1: Sequential Quadratic Programming - DONLP
Best design: currently previously
--------------------------------------------------------------------
RunCounter 5 1
ObjectiveAndPenalty 2.49999998050393e-0091.0
Objective 2.49999998050393e-0091.0
Penalty 0.0 0.0
Best design ObjectiveAndPenalty value improved by
0.9999999975 (100.0%) after executing this Optimization Plan
Best design parameter values:
z2 = 1.00000000002676e-006
z1 = 0.999950000000194
J1 = 1.07944409357371e-007
J2 = 1.00000000005352e-012
F= 2.49999998050393e-009 赞一个,楼主朋友费心了! CO优化的初衷就是减少计算量,但是通过上面的HeartDIople和其它我所做的其它CO例子来看,如何在isight中进行设置,以提高收敛效率.望大家能够多多提出意见.
麻烦各同仁都研究研究HeartDiople
我看HeartDiople问题的结果数据就是感觉到其收敛的速度很慢,从系统迭代次数来看也是这样的,可能是SQP——DONLP高级参数设置方面有问题,我用的是默认的设置,各位同仁又研究过其参数影响的没有?很急待高级参数设置研究结果。
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