Evolutionary computation approach for autonomous vehicles

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  author =       "Miha Kovacic and Miran Brezocnik",
  title =        "Evolutionary computation approach for autonomous
  booktitle =    "Proceedings of the 2nd DAAAM International conference
                 on Advanced technologies for developing countries",
  year =         "2003",
  editor =       "Branko Katalinic and Dzemo Tufkecic and Ramiz Selo",
  pages =        "339--344",
  address =      "Tuzla, Bosnia and Herzegovina",
  month =        jun # " 25-28",
  publisher =    "DAAAM",
  keywords =     "genetic algorithms, genetic programming, inteligentni
                 proizvodni sistemi, avtonomna vozila, transport,
                 genetsko programiranje, genetski algoritem,
                 programiranje poti, intelligent manufacturing systems,
                 autonomous vehicles, transport, path programming",
  ISBN =         "9958-609-14-2",
  abstract =     "This paper discusses about using genetic algorithm and
                 genetic programming for intelligent path planning of
                 autonomous vehicles. The concept imitates the natural
                 evolution of living organisms, where in the struggle
                 for natural resources the successful individuals
                 gradually become more and more dominant, and adaptable
                 to the environment in which they live, whereas the less
                 successful ones are present in the next generations
                 rarely. In the proposed concept the travelling
                 strategies leading the robot to the goal location
                 undergo adaptation. During the simulated evolution more
                 and more successful organisms (paths) emerge on the
                 basis of given environment. For the paper to be
                 self-contained the problem is stated in the beginning
                 of the section 2. In Section 3 the idea of the proposed
                 concept is presented. Section 4 and Section 5 show
                 functioning of the proposed concept. The examples of
                 path planning with discussion of the results obtained
                 are also given. Section 6 summarizes the main
                 contributions of the performed research and also gives
                 guidelines for further researches.",
  notes =        "


Genetic Programming entries for Miha Kovacic Miran Brezocnik