Efficiency of parallel genetic algorithm for solving N-queens problem on multicomputer platform

The paper investigates the efficiency of parallel genetic algorithm for solving N-queens problem on a multicomputer platform. The proposed parallel computational model of the genetic algorithm is based on a parallel algorithmic paradigm of synchronous iterations. Dynamic migration of randomly selected chromosomes in a bidirectional circular model is utilized. The algorithm is implemented using both flat (pure MPI) and hybrid (MPI+OpenMP) programming models. The target parallel multicomputer platform is a cluster of SMPs. Performance profiling and scalability analyses have been made in respect of both the workload (board size) and the size of the parallel system.

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