Through recent advancements in network technologies, graphics cards and displays, a new type of Real-time Online Interactive Applications (ROIA) has become increasingly popular. Everyday life is currently being affect...
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The UNICORE Grid technology provides a seamless, secure, and intuitive access to distributed Grid resources. UNICORE is a full-grown and well-tested Grid middleware system, which today is used in daily production worl...
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The International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar) workshop is intended to be a forum for people working on algorithms, programming languages, tool...
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The solution of Computational science problems relies on the availability of accurate and efficient numerical algorithms and software capable of harnessing the processing power of modern parallel and distributed compu...
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This paper presented a novel approach to solving the problem of robot path planning A Learning Classifier System is an accuracy based machine learning system that combines covering operator and genetic algorithm The c...
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ISBN:
(纸本)9783642149214
This paper presented a novel approach to solving the problem of robot path planning A Learning Classifier System is an accuracy based machine learning system that combines covering operator and genetic algorithm The covering operator is responsible for adjusting precision and large search space according to some reward obtained from the environment The genetic algorithm acts as an innovation discovery component which is responsible for discovering new better path planning rules The advantages of this approach are its accuracy-based representation that can easily reduce learning space improve online learning ability robustness due to the use of genetic algorithm
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