Abstract The blackbox optimization benchmarking (bbob) test suite comprises 24 noiseless single-objective test functions. BBOB is one of the most widely used test suites to evaluate and compare the performance of blackbox optimization algorithms. Each benchmark function is provided in dimensions [2, 3, 5, 10, 20, 40] with 110 instances.
APIs class Problem(function_id: int, dimension: int, instance_id: int = 1) function_id: ID of the bbob benchmark function to use. It must be in the range of [1, 24].
Abstract The bbob-biobj test suite was created by combining existing 55 noiseless single-objective test functions. bbob-biobj (and its extension, bbob-biobj-ext) has in total of 92 (= original 55 + additional 37) bi-objective functions. Each benchmark function is provided in dimensions [2, 3, 5, 10, 20, 40] with 15 instances. In this package, all the 92 functions are available. Please refer to the paper for details about each benchmark function.
APIs class Problem(function_id: int, dimension: int, instance_id: int = 1) function_id: ID of the bbob benchmark function to use.
Abstract The blackbox optimization benchmarking largescale (bbob-largescale) test suite comprises high-dimensional 24 noiseless single-objective test functions. Each benchmark function is provided in dimensions [20, 40, 80, 160, 320, 640] with 15 instances. Please refer to the paper for details about each benchmark function.
APIs class Problem(function_id: int, dimension: int, instance_id: int = 1) function_id: ID of the bbob benchmark function to use. It must be in the range of [1, 24].
Abstract The blackbox optimization benchmarking noisy (bbob-noisy) test suite comprises 30 noisy test functions. Each benchmark function is provided in dimensions [2, 3, 5, 10, 20, 40] with 15 instances. Please refer to the paper for details about each benchmark function.
APIs class Problem(function_id: int, dimension: int, instance_id: int = 1) function_id: ID of the bbob benchmark function to use. It must be in the range of [101, 130]. dimension: Dimension of the benchmark function.
Abstract This package provides a wrapper of the COCO experiments libarary’s bbob-constrained test suite.
APIs class Problem(function_id: int, dimension: int, instance_id: int = 1) function_id: ID of the bbob-constrained benchmark function to use. It must be in the range of [1, 54]. dimension: Dimension of the benchmark function. It must be in [2, 3, 5, 10, 20, 40]. instance_id: ID of the instance of the benchmark function. It must be in the range of [1, 15].
Abstract This package provides a wrapper of the optproblems library’s DTLZ test suite, which consists of 7 kinds of continuous problems with variadic objectives and variables. For the details of the benchmark problems, please take a look at the original paper (Deb et al., 2001) in the reference section.
APIs class Problem(function_id: int, n_objectives: int, dimension: int, k: int, **kwargs: Any) function_id: Function ID of the WFG problem in [1, 9].
Abstract This package provides a wrapper of the optproblems library’s WFG test suite, which consists of 9 kinds of continuous problems with variadic objectives and variables. For the details of the benchmark problems, please take a look at the original paper (Huband et al., 2006) in the reference section.
APIs class Problem(function_id: int, n_objectives: int, dimension: int, k: int | None = None, **kwargs: Any) function_id: Function ID of the WFG problem in [1, 9].