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0001 # AID2E Full Example Configuration (DTLZ2 Toy Problem)
0002 # This example demonstrates a multi-objective optimization setup for the DTLZ2 benchmark.
0003 # Design parameters are loaded from an external file (design.params).
0004
0005 problem:
0006 name: "DTLZ2 Multi-Objective Optimization"
0007 type: "toy" # Toy benchmark problem
0008
0009 # Objectives for the optimization. Each objective has a name and direction.
0010 # The objectives returned will be a dictionary with these names as keys.
0011 # example: {"f1": value1, "f2": value2}
0012 objectives:
0013 - name: "f1"
0014 minimize: true
0015 - name: "f2"
0016 minimize: true
0017
0018 # Design parameters can be loaded from file (path) or defined inline.
0019 # The loader will:
0020 # - If 'path' is provided: load from that file (must exist)
0021 # - If 'path' is not provided: use inline parameters directly
0022 # - If both are provided: raise an error
0023 design_space:
0024 path: "./examples/basic/design.params"
0025
0026 optimizer:
0027 # Choose optimization algorithm family: "BO" (Bayesian Optimization) or "EA" (Evolutionary Algorithm)
0028 kind: "BO"
0029 max_iterations: 100
0030
0031 # Configuration specific to Bayesian Optimization (used when kind == "BO")
0032 bo:
0033 surrogate_model:
0034 name: "GaussianProcess"
0035 kernel: "matern52"
0036 noise_level: 1.0e-6
0037 normalize_y: true
0038
0039 acquisition_function:
0040 name: "qEHVI" # Expected Hypervolume Improvement (batch)
0041 parameters:
0042 num_mc_samples: 128
0043 objective_thresholds: [0.0, 0.0]
0044
0045 parameters:
0046 initial_design: "lhs" # Latin Hypercube Sampling
0047 n_initial_samples: 24
0048 batch_size: 4
0049 parallel_evaluations: 4
0050
0051 # Alternative configuration for Evolutionary Algorithms (used when kind == "EA")
0052 # Uncomment and set kind: "EA" to use this section instead of BO.
0053 # ea:
0054 # population_size: 100
0055 # crossover_rate: 0.9
0056 # mutation_rate: 0.1
0057 # selection: "tournament"
0058 # elitism: 2
0059 # parameters:
0060 # max_generations: 80
0061 # parallel_evaluations: 8
0062
0063 metadata:
0064 project: "AID2E"
0065 description: "AI assisted Detector Design for EIC"
0066 version: "0.0.1"
