Tokyo University of Agriculture / Hosei University / /
IndustryTerm
parallel processing model / random search / genetic algorithm / manycore processors / local search function / multi-core processors / quad-core products / genetic algorithms / stochastic search algorithm / optimum solutions / puzzle solution / homogeneous multi-core processor / parallel processing / stochastic search method / faster processing / multi-core processor / optimum solution / search termination point / parallel genetic algorithm / system software / search scope / local search improvement measure / parallel computing systems / /
OperatingSystem
Ubuntu / POSIX / /
Organization
University of Agriculture / Hosei University / Graduate School / Yuji Sato Faculty of Computer and Information Sciences / Mikiko Sato Faculty of Engineering / /
Acceleration of Genetic Algorithms for Sudoku Solution on Many-core Processors Yuji Sato, Naohiro Hasegawa and Mikiko Sato Abstract In this chapter, we use the problem of solving Sudoku puzzles to demonstrate the possibi