HoloGenetic AI: A Novel Holomorphic Genetic Algorithm for Autonomous System Optimization
Abstract
Existing optimization techniques for autonomous systems often struggle with balancing adaptability and efficiency. This paper introduces HoloGenetic AI, a novel holomorphic genetic algorithm that merges quantum-inspired holomorphic functions with evolutionary computing. HoloGenetic AI dynamically adapts optimization strategies based on environmental variations, significantly improving decision-making in autonomous vehicles, robotics, and smart grids. Benchmark evaluations demonstrate superior convergence speed and adaptability over traditional genetic algorithms, offering a new frontier in adaptive AI-driven optimization.
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