NDLI: Path planning of robot soccer based improved pseudo-parallel genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Cheng Shi Chen Shan-li
Copyright Year	2010
Description	Author affiliation: College of Computer Science and Technology, Nantong University, 226019, China (Cheng Shi; Chen Shan-li)
Abstract	Through the analysis of existing pseudo-parallel genetic algorithm, proposing a pseudo-parallel genetic algorithm of the new dynamic sub-population, which changes the condition that the scale of sub-population is stationary in current existing information exchange model, the scale of sub-population will vary with the evolution. This algorithm can not only restrain premature convergence but also get the best global values and local values of multi-objective functions rapidly. Design the adaptive crossover operator according to the numbers of evolution generation. The crossover probability will be adjusted automatically according to the evolution, which accelerates the speed of the convergence. Through testing functions, the accuracy and superiority of this algorithm are proved. The simulation shows that the algorithm proposed is reliable and efficient for the path planning of robot soccer.
Starting Page	243
Ending Page	246
File Size	416538
Page Count	4
File Format	PDF
ISBN	9781424452347
DOI	10.1109/OPEE.2010.5508141
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Algorithm design and analysis Adaptive Educational institutions Path planning Genetic engineering Pseudo-parallel Intelligent robots Genetic algorithms Convergence Power engineering and energy Photonics
Content Type	Text
Resource Type	Article

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