Paper Info
Title
Tuning of fuzzy rules with a real-codec genetic algorithm in car racing game.
Abstract
Car Racing Game is a competition of computer programs in IEEE CEC 2007, where two car agents compete with each other for taking way points in a two-dimensional plane. The agent can get information on itself, the other agent, and the current and next way points. In our previous research, we have evaluated agent states for the current and next way points with fuzzy rules from their speeds and the distances and angles to way points, to decide which way point to take. Then we have calculated the steering and the speed with fuzzy rules. We, however, have not won some programs in the competition. In this paper, we tune fuzzy rules with a real-coded genetic algorithm. The car agent tuned with a real-coded genetic algorithm for one of the best programs can win almost all programs. Moreover, it gets higher in performance than an ordinary simple genetic algorithm.
Year
Venue
Field
2017
Joint International Conference on Soft Computing and Intelligent Systems SCIS and International Symposium on Advanced Intelligent Systems ISIS
Computer science,Fuzzy logic,Artificial intelligence,Car racing,Codec,Genetic algorithm
DocType
ISSN
Citations 
Conference
2377-6870
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Akifumi Ise100.34
Motohide Umano218328.91
Noriyuki Fujimoto328025.23