research-simulation
CommunitySimulate, optimize, and compute with integrated tools.
AuthorMekann2904
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines complex scientific and engineering tasks by integrating discrete event simulation, multi-objective optimization, and symbolic computation into a single toolkit.
Core Features & Use Cases
- Discrete Event Simulation: Model dynamic systems using SimPy for process-oriented simulations.
- Multi-Objective Optimization: Solve complex optimization problems with PyMOO, supporting algorithms like NSGA-II and NSGA-III.
- Symbolic Computation: Perform advanced mathematical operations, solve equations, and simplify expressions with SymPy.
- Use Case: Optimize the parameters of a manufacturing process simulation to minimize cost and maximize throughput simultaneously.
Quick Start
Use the research-simulation skill to run a SimPy discrete event simulation.
Dependency Matrix
Required Modules
simpypymoosympynumpyscipy
Components
scriptsreferences
💻 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: research-simulation Download link: https://github.com/Mekann2904/mekann/archive/main.zip#research-simulation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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