Application of Immune Optimization Algorithm in Logistics Distribution Center Location Selection
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Resource Overview
The code is thoroughly explained, ready to use out-of-the-box, and has been comprehensively tested with excellent performance results.
Detailed Documentation
This code implementation features high readability and immediate usability, having undergone complete validation testing. The algorithm employs immune optimization principles including antigen recognition, antibody generation, and immune memory mechanisms to solve facility location problems. Key functions include dynamic antibody population management, affinity calculations for site evaluations, and concentration-based diversity maintenance. The implementation offers flexible parameter configuration for adapting to various logistics scenarios, significantly reducing development time by providing pre-optimized location selection capabilities. With modular design supporting easy customization of distance metrics and constraint handling, this solution demonstrates practical efficiency gains for supply chain optimization tasks.
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