Ant Colony Optimization (ACO) for travelling salesperson problem (TSP) and combinatorial path routing.
genpark-ant-colony-optimization-tsp-skill
Ant Colony Optimization (ACO) for travelling salesperson problem (TSP) and combinatorial path routing.
Part of the GenPark AI Agent Skills Matrix. Production-ready, zero external dependencies, native Python 3.9+ standard library.
Features - Zero Third-Party Dependencies: Pure Python standard library (math, random). - Robust Metaheuristics: Genetic crossover/mutation, PSO swarm velocity, simulated annealing Metropolis criterion, and ACO stigmergy. - Native MCP Protocol Support: Integrated JSON-RPC 2.0 stdio server ready for Claude Desktop, Cursor, and Windsurf.
Add to your claudedesktopconfig.json or cursor.json:
License MIT License. Copyright (c) 2026 AlphaPark Inc. & Alpha-Park.
From the project README.
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Ant Colony Optimization (ACO) for travelling salesperson problem (TSP) and combinatorial path routing.
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