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A parallel solution to the HIP game based on genetic algorithms

โœ Scribed by Tatiana Tambouratzis


Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
142 KB
Volume
24
Category
Article
ISSN
0884-8173

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โœฆ Synopsis


In this piece of research, genetic algorithms are put forward for solving the HIP game. The proposed parallel approach manipulates candidate solutions via mutation and selection; no crossover has been employed. The population is limited to one candidate solution per generation, thus keeping the computational complexity of the approach to a minimum. It is shown that the proposed approach is superior to the approaches reported in the literature: Solutions are more speedily provided, whereas the frequency of finding a solution is significantly higher; furthermore, considerably more complex instances of the HIP game are successfully solved.


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