Paper Info
Title
A multiobjective optimization algorithm for discovering driving strategies
Abstract
This paper presents a deterministic multiobjective optimization algorithm for discovering driving strategies. The goal is to find a set of nondominated driving strategies with respect to two conflicting objectives: time and fuel consumption. The presented multiobjective algorithm is based on the breadth-first search algorithm and Nondominated Sorting Genetic Algorithm (NSGA-II). Experiments on a 10-km route show that the results significantly depend on the discretization of the search space.
Year
DOI
Venue
2011
10.1145/2001858.2002083
GECCO (Companion)
Keywords
Field
DocType
nondominated driving strategy,fuel consumption,genetic algorithm,breadth-first search algorithm,conflicting objective,search space,multiobjective algorithm,deterministic multiobjective optimization algorithm,10-km route show,breadth first search,multiobjective optimization
Discretization,Mathematical optimization,Search algorithm,Computer science,Multiobjective optimization algorithm,Multi-objective optimization,Sorting,Artificial intelligence,Fuel efficiency,Genetic algorithm,Machine learning
Conference
Citations 
PageRank 
References 
3
0.44
2
Authors
3
Name
Order
Citations
PageRank
Erik Dovgan1709.74
Matjaz Gams253680.90
Bogdan Filipič326818.68