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algorithms.yaml
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50 lines (50 loc) · 1.06 KB
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alg_nies:
can_evaluate_objectives_independently: null
code_examples: null
constraint_types:
- description: null
equality: null
hard: null
supports: null
type: box
description: A natural-gradient based evolutionary algorithm for integer-space
optimization
dynamics: null
fidelity_levels: null
implementations:
- impl_integeres
long_name: Natural Integer Evolutionary Strategies
modality_types:
- description: null
supports: default
type: unimodal
name: NIES
noise: null
number_variables:
max: 5000
min: 1
objectives: 1
partial_evaluation: null
recommended_budget:
max: 10000000000
min: 100
references: null
source: null
tags:
- Evolutionary
- Gradient-free
- Anytime
type: algorithm
variable_types:
- description: null
supports: default
type: integer
impl_integeres:
description: A Python implementation of NIES
language: python
links:
- type: source code
url: https://github.com/jacobdenobel/integer-es
name: impl_integeres
requirements: null
type: implementation