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Solar Car Strategy. An evolutionary algorithm using the Strength Pareto approach Srinivas ‘jack’ Jakkidi. Overview. Solar car basics Problem statement Strength Pareto Algorithm Results The road ahead. Solar Car basics. Solar array Batteries Aerodynamics Rolling resistance
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Solar Car Strategy An evolutionary algorithm using the Strength Pareto approach Srinivas ‘jack’ Jakkidi
Overview • Solar car basics • Problem statement • Strength Pareto • Algorithm • Results • The road ahead
Solar Car basics • Solar array • Batteries • Aerodynamics • Rolling resistance • Efficiency losses • Resource starvation
Problem Statement • How fast to go through the day? • Maximize distance • Minimize battery usage • Use X% of the battery
Strengths Pareto • Multiple Criterion • Distance, battery usage • Pareto element: no individual travels farther AND uses less energy. • Pareto front: set of all Pareto elements. • Fitness: depends on the number of elements that the element ‘dominates’.
EA • Basic EA structure • Fitness using Pareto technique • Targeting: Scaling the fitness based on its distance from a target Target = end battery desired
Summary • Strength Pareto algorithm works well • Optimizes to less than 1% error • Problems • Targeting Vs. Lowering Battery usage • Computationally intensive
The road ahead • Weather, terrain, etc. • Solar car model • American Solar Challenge