Application of Immune Optimization Algorithm in Logistics Distribution Center Location Selection

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Resource Overview

Implementation of immune optimization algorithm for logistics distribution center location selection in MATLAB environment, featuring diversity evaluation and immune operation mechanisms with corresponding code implementations.

Detailed Documentation

The application of immune optimization algorithms is crucial in logistics distribution center location selection. This algorithm can be effectively implemented in MATLAB environment, involving key concepts such as diversity evaluation and immune operations designed to optimize the site selection process. The implementation typically includes initial antibody generation using random population initialization, affinity calculation through objective function evaluation, and immune operations like cloning, mutation, and suppression to maintain population diversity. Key MATLAB functions may include pdist() for distance calculations in fitness evaluation, randperm() for population initialization, and custom functions for implementing clonal selection and hypermutation operations.

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