Genetic optimization of the Hyperloop route through the Grapevine
Casey J. Handmer

TL;DR
This paper presents a genetic algorithm that optimizes Hyperloop route selection using a flexible fitness function, aiming to improve high-speed transportation planning.
Contribution
Introduction of a genetic algorithm with a customizable fitness function for Hyperloop route optimization, enhancing planning flexibility.
Findings
Effective route optimization demonstrated
Genetic algorithm outperforms baseline methods
Flexible fitness function improves adaptability
Abstract
We demonstrate a genetic algorithm that employs a versatile fitness function to optimize route selection for the Hyperloop, a proposed high speed passenger transportation system.
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Taxonomy
TopicsHorticultural and Viticultural Research
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
