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A hybrid genetic algorithm for the discrete time–cost trade-off problem
2012
Expert systems with applications
In this paper the Sudoku problem is solved using stochastic search techniques and these are: Cultural Genetic Algorithm (CGA), Repulsive Particle Swarm Optimization (RPSO), Quantum Simulated Annealing (QSA) and the Hybrid method that combines Genetic Algorithm with Simulated Annealing (HGASA). The results obtained show that the CGA, QSA and HGASA are able to solve the Sudoku puzzle with CGA finding a solution in 28 seconds, while QSA finding a solution in 65 seconds and HGASA in 1.447 seconds.
doi:10.1016/j.eswa.2012.04.019
fatcat:62d6xgcvlfah5fv7uyg6dig3rq