set-covering-problem
CommunityOptimize coverage and resource allocation.
Software Engineering#optimization#coverage#resource allocation#operations research#facility location#set covering
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps find the most efficient way to cover all required elements or demands using a minimum number of sets or facilities, optimizing resource allocation and service coverage.
Core Features & Use Cases
- Set Covering: Determine the minimum cost collection of sets to cover all elements.
- Location Optimization: Find the optimal placement of facilities (e.g., fire stations, retail stores) to cover demand points within a service radius.
- Maximal Covering: Maximize the demand covered given a limited number of facilities.
- Use Case: A city planner can use this Skill to determine the minimum number of new fire stations needed to ensure all residential areas are within a 10-minute response time.
Quick Start
Use the set-covering-problem skill to find the minimum number of facilities to cover all demand points within a 25-unit radius.
Dependency Matrix
Required Modules
pulpnumpymatplotlib
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: set-covering-problem Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#set-covering-problem Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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