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Genetic Algorithm Projects
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Traveling salesman problem
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Implemented an Evolutionary Algorithm to solve the complex shortest path problem across thousands of cities. The approach effectively optimized route planning by simulating natural selection processes, demonstrating scalability and efficiency in solving large-scale combinatorial problems.
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Symbolic Regression
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Applied a Genetic Algorithm to solve symbolic regression problems, effectively identifying mathematical expressions that best fit complex datasets. The approach demonstrated the capability to uncover underlying relationships and patterns, highlighting the power of evolutionary computation in data-driven modeling.
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