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AI/ML / 2022 / Research prototype
Genetic Algorithm Optimization
Evolutionary optimization project implementing selection, crossover, mutation, and fitness-driven search.
Role
Sole engineer
Disciplines
AI Integration
Status
Research prototype
System overview
Implemented a configurable genetic algorithm for search-space optimization and evaluated convergence behavior on benchmark problem setups.
Validation and results
Produced stable convergence behavior on benchmark tasks and demonstrated practical optimization engineering skills.