Evolutionary Agents for Intelligent Transport Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Kuo:2005:IJFS,

• title = "Evolutionary Agents for Intelligent Transport Systems",
• author = "Jong Yih Kuo and Shin Jie Lee and Chia Ling Wu and Nien Lin Hsueh and Jonathan Lee",
• journal = "International Journal of Fuzzy Systems",
• year = "2005",
• volume = "7",
• number = "2",
• pages = "85--93",
• month = jun,
• keywords = "genetic algorithms, genetic programming, intelligent agent, evolutionary, intelligent transportation systems",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.469.4317",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.469.4317",
• URL = "http://www.csie.ntu.edu.tw/~jlee/publication/Evolutionary-Agents-for-Intelligent-Transport-System.pdf",
• abstract = "When agents are initially created, they have little knowledge and experience with relatively low capability. They strive to adapt themselves to the changing environment. It is an advantage if they have the ability to learn and evolve. This paper addresses evolution of intelligent agents in transport information system. Fuzzy theory and ontological reasoning approach are proposed as evolution mechanisms, and fuzzy soft goal is introduced to facilitate the evolution process. Genetic programming operators are employed to restructure agents in the proposed multi-agent evolution cycle. We have also built an agent system to demonstrate our approach.",
• notes = "2015 vol2 does not appear on either www.ijfs.org.tw or http://www.springer.com/engineering/computational+intelligence+and+complexity/journal/40815",

}

Genetic Programming entries for Jong-Yih Kuo Shin-Jie Lee Chia Ling Wu Nien Lin Hsueh Jonathan Lee

Citations