We need your help! 🔥
Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
Evolutionary Learning
Explicit Components
Loop
Octopus
Supervised Learning
Utilities
View

Mutate

Mutate a solution's parameter values. It is recommended to work with parameters between 0 and 1. Although the mutation-algorithm can handle values outside this domain, the approach to scaling the mutation is experimental and not according to literature.

Inputs

NameIDDescriptionType
Octopus SolutionOSThe Octopus Solution to mutateOctopus Solution
Mutation ProbabilityPThe mutation probability defines how many parameters are changed in average.Number
Mutation RateRThe mutation rate defines to which extent the mutation changes a parameterNumber
SeedSSeed for random number generation as the basis for the mutationInteger

Outputs

NameIDDescriptionType
The mutated Octopus SolutionOSThe mutated Octopus SolutionOctopus Solution

Site design © Robin Rodricks.   Octopus and associated data © 2024 Robert Vierlinger.  
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.  Hosted by GitHub

Report an Issue  |  Terms of Service