Extremely Simple Genetic Algorithm
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Resource Overview
A minimalist genetic algorithm source code originally developed by Denis Cormier (North Carolina State University) and revised by Sita S. Raghavan (University of North Carolina at Charlotte). The code is intentionally kept minimal and requires minimal error checking. For specific applications, users only need to modify constant definitions and implement the "fitness function".
Detailed Documentation
This is an extremely simple genetic algorithm source code developed by Denis Cormier (North Carolina State University) and revised by Sita S. Raghavan (University of North Carolina at Charlotte). The code is designed with minimal complexity and requires virtually no error checking. To adapt this code for specific applications, users simply need to modify the constant definitions and implement an appropriate "fitness function" that evaluates chromosome fitness based on their problem domain. The implementation follows basic GA principles including population initialization, selection, crossover, and mutation operations, with the fitness function serving as the primary customization point for different optimization problems.
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