TEAM ASPAR Uses Binary Optimization to Obtain Optimal Gearbox Ratios in Motorcycle Racing

Authors:
Javier Amorós;Laureano F. Escudero;Juan F. Monge;José V. Segura;Oscar Reinoso
Affiliations:
Departamento Estadística, Matemáticas e Informática, Universidad Miguel Hernández, 03202 Elche (Alicante), Spain;Departamento de Estadística e Investigación Operativa, Universidad Rey Juan Carlos, 28933 Mostoles (Madrid), Spain;Centro de Investigación Operativa, Universidad Miguel Hernández, 03202 Elche (Alicante), Spain;Centro de Investigación Operativa, Universidad Miguel Hernández, 03202 Elche (Alicante), Spain;Departamento de Ingeniería de Sistemas Industriales, Universidad Miguel Hernández, 03202 Elche (Alicante), Spain
Venue:
Interfaces
Year:
2012

Citing 1
Cited 1

Discrete parameter-nonlinear constrained optimisation of a gear train using genetic algorithms

International Journal of Computer Applications in Technology

Introduction to the Special Issue on Analytics in Sports, Part I: General Sports Applications

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Abstract

In this paper, we present a binary integer linear program for obtaining the optimal combination of gears to install on a competitive racing motorcycle. Our objective is to meet the requirements of both the rider and track at a set of points on the racing circuit. This requires determining the best transmission (gearbox) for each circuit and rider. We discuss a solution for a rider in the World Motorcycling Racing Championship.