Functional Optimization Of Non linear Function using Genetic Algorithm
Functional Optimization Of Non linear Function(sinx) using Genetic Algorithm.
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Functional Optimization Of Non linear Function(y=sinx) using Genetic Algorithm. Crossover and mutation are used to generated the other chromosomes. This is repeated for generations to get the maximum value of the nonlinear function.
Cite As
Yella (2026). Functional Optimization Of Non linear Function using Genetic Algorithm (https://uk.mathworks.com/matlabcentral/fileexchange/32687-functional-optimization-of-non-linear-function-using-genetic-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.97 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
