Please use this identifier to cite or link to this item:
Scopus Web of ScienceĀ® Altmetric
Type: Conference paper
Title: EVOR: An online evolutionary algorithm for car racing games
Author: Nallaperuma, S.
Neumann, F.
Bonyadi, M.
Michalewicz, Z.
Citation: Proceedings of the 2014 Genetic and Evolutionary Computation Conference, 2014 / Igel, C. (ed./s), pp.317-324
Publisher: Association for Computing Machinery
Issue Date: 2014
ISBN: 9781450326629
Conference Name: 2014 Genetic and Evolutionary Computation Conference (GECCO 2014) (12 Jul 2014 - 16 Jul 2014 : Vancouver, Canada)
Statement of
Samadhi Nallaperuma, Frank Neumann, Mohomad Reza Bonyadi, Zbigniew Michalewicz
Abstract: In this paper, we present evolutionary racer (EVOR) that is a simulated car dynamically controlled by an online evolutionary algorithm (EA). The key distinction between EVOR and earlier car racing methods is that it considers car racing as a dynamic optimization problem which is addressed by an evolutionary algorithm. Our approach calculates a car trajectory based on a controller decision and adjusts this decision according to the suitability of its resultant trajectory with the current track status. Furthermore, it allows to integrate features such as opponent handling implicitly. Our experimental results show that EVOR outperforms current best AI controllers on a wide range of tracks.
Keywords: Dynamic optimization, online algorithms, simulated car racing
Rights: Copyright 2014 ACM. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from
RMID: 0030013661
DOI: 10.1145/2576768.2598298
Published version:
Appears in Collections:Computer Science publications

Files in This Item:
File Description SizeFormat 
RA_hdl_109192.pdfRestricted Access674.41 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.