@@ -107,8 +107,8 @@ using Test
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mof_1 = MultiObjectiveOptimizationFunction {false} (multi_obj_func_1, SciMLBase. NoAD (); cost_prototype= zeros (2 ))
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prob_1 = Optimization. OptimizationProblem (mof_1, u0; lb = lb, ub = ub)
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- sol_1 = solve (prob_1, opt, NumDimensions = 2 ,
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- FitnessScheme = ParetoFitnessScheme {2} (is_minimizing = true ))
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+ sol_1 = solve (prob_1, opt, num_dimensions = 2 ,
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+ fitness_scheme = ParetoFitnessScheme {2} (is_minimizing = true ))
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@test sol_1 ≠ nothing
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println (" Solution for Sphere and Rastrigin: " , sol_1)
@@ -160,8 +160,8 @@ using Test
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mof_2 = MultiObjectiveOptimizationFunction {false} (multi_obj_func_2, SciMLBase. NoAD (); cost_prototype= zeros (2 ))
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prob_2 = Optimization. OptimizationProblem (mof_2, u0; lb = lb, ub = ub)
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- sol_2 = solve (prob_2, opt, NumDimensions = 2 ,
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- FitnessScheme = ParetoFitnessScheme {2} (is_minimizing = true ))
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+ sol_2 = solve (prob_2, opt, num_dimensions = 2 ,
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+ fitness_scheme = ParetoFitnessScheme {2} (is_minimizing = true ))
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@test sol_2 ≠ nothing
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println (" Solution for Rosenbrock and Ackley: " , sol_2)
@@ -180,8 +180,8 @@ using Test
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mof_3 = SciMLBase. MultiObjectiveOptimizationFunction {false} (multi_obj_func_3, SciMLBase. NoAD (); cost_prototype= zeros (2 ))
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prob_3 = Optimization. OptimizationProblem (mof_3, u0; lb = lb, ub = ub)
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- sol_3 = solve (prob_3, opt, NumDimensions = 2 ,
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- FitnessScheme = ParetoFitnessScheme {2} (is_minimizing = true ))
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+ sol_3 = solve (prob_3, opt, num_dimensions = 2 ,
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+ fitness_scheme = ParetoFitnessScheme {2} (is_minimizing = true ))
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@test sol_3 ≠ nothing
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println (" Solution for ZDT1: " , sol_3)
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