ix-evolution
OfficialGlobal optimization with Genetic and Differential Evolution algorithms
Software Engineering#optimization#evolutionary algorithms#genetic algorithm#differential evolution#global optimization
AuthorGuitarAlchemist
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for gradient-free global optimization, enabling users to compare evolutionary algorithms like Genetic and Differential Evolution, ideal for non-convex objective functions.
Core Features & Use Cases
- Genetic Algorithm: Offers tournament selection, crossover, and mutation for discrete/mixed problems.
- Differential Evolution: Utilizes vector differences for continuous optimization.
- Benchmark Functions: Provides Sphere, Rosenbrock, and Rastrigin functions to test and compare the algorithms.
- Use Case: A user seeking an alternative to gradient-based optimization for a complex problem in a machine learning context could utilize this Skill.
Quick Start
Run the ix_evolution skill with the Genetic algorithm on the Sphere function with 10 dimensions and 100 generations.
Dependency Matrix
Required Modules
ix_evolution
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ix-evolution Download link: https://github.com/GuitarAlchemist/ix/archive/main.zip#ix-evolution Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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