International Journal for Numerical Methods in Engineering · 2000 · 10 citations · 5 references
ComputingComputational EngineeringComputer ScienceFinite Element AnalysisOptimizationParallel ComputingFinite Element DiscretizationFinite Element FormulationMesh GenerationParallel Algorithm DesignParallel Numerical MethodsDecompositionsDomain Generation AlgorithmsFinite Element Mesh GenerationGenetic Algorithm OptimizationGenetic Algorithm Parameter TuningMesh PartitioningParallel Mesh GenerationPartitioning
This paper describes an optimization and artificial intelligence-based approach for solving the mesh partitioning problem for explicit parallel dynamic finite element analysis. The Sub-Domain Generation Method (SGM) (Topping, Khan, Parallel Finite Element Computations. Saxe-Coburg Publications: Edinburgh, U.K., 1996) is briefly introduced with its virtues and drawbacks. This paper describes the enhancement of the SGM algorithm (ESGM) by the introduction of a new, non-convex bisection procedure and a new Genetic Algorithm (GA) module, which is better tuned for this particular optimization problem. Example decompositions are given and comparisons made between parallel versions of the ESGM, the SGM and other decomposition methods. The scalability of the ESGM is examined by using a range of examples. Copyright © 2000 John Wiley & Sons, Ltd.
5
Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
MPI: A Message-Passing Interface Standard
Message P Forum · 1994 · 2.7K citations
Parallel Sub-Domain Generation Method
B.H.V. Topping, J. Sziveri · Civil-comp proceedings · 2009 · 11 citations