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Committee Date Time Place Paper Title / Authors Abstract Paper #
AI, KBSE 2007-03-28
13:20
Tokyo   Stochastic State Selection in TSP -- Simuleted Annealing by many states --
Hiroki Yamazaki, Tomo Munehisa, Yasuko Munehisa (Yamanashi Univ)
The Simulated Annealing is one of the methods for the optimization problem. A probabilistic selection is done to one sta... [more] AI2006-68 KBSE2006-76
pp.33-35
AI 2004-06-21
15:35
Tokyo Kikai-Shinko-Kaikan Bldg. A genetic algorithm in new selection method -- Theory --
Tetsuaki Hirahaya, Satoshi Sawatani, Yasuko Munehisa, Tomo Munehisa (Univ. of Yamanashi)
Genetic algorithms have the fault that the optimal solution attainment is not guaranteed. In order to guarantee the conv... [more] AI2004-9
pp.45-50
AI 2004-06-21
16:00
Tokyo Kikai-Shinko-Kaikan Bldg. A new selection method in Genetic Algorithm(2) -- Experiments by De Jong's functions --
Satoshi Sawatani, Tetsuaki Hirahaya, Yasuko Munehisa, Tomo Munehisa (Univ. of Yamanashi)
 [more] AI2004-10
pp.51-56
AI 2004-06-21
16:25
Tokyo Kikai-Shinko-Kaikan Bldg. Accelerating Boltzmann machine
Daisuke Itoh, Keita Torii, Tomo Munehisa (Univ. of Yamanashi)
Learning in a Boltzmann machine requires a very long calculation time because of statistical averaging. In order to redu... [more] AI2004-11
pp.57-62
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