metaheuristic-optimization
CommunitySolve complex optimization problems.
Software Engineering#optimization#operations research#simulated annealing#metaheuristics#genetic algorithm#tabu search
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill tackles complex, large-scale optimization problems where exact methods are too slow or impractical, providing high-quality solutions using nature-inspired algorithms.
Core Features & Use Cases
- Metaheuristic Algorithms: Implements Genetic Algorithms (GA), Simulated Annealing (SA), and Tabu Search.
- Problem Types: Solves Vehicle Routing Problems (VRP), Job Shop Scheduling (JSSP), and Facility Location problems.
- Use Case: Optimize delivery routes for a fleet of vehicles to minimize total distance, or schedule manufacturing jobs on machines to minimize overall completion time.
Quick Start
Use the metaheuristic-optimization skill to solve a vehicle routing problem with the provided customer locations and demands.
Dependency Matrix
Required Modules
numpyscipymatplotlibnetworkx
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: metaheuristic-optimization Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#metaheuristic-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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