6533b7d8fe1ef96bd126a288

RESEARCH PRODUCT

Efficient Parallel Nash Genetic Algorithm for Solving Inverse Problems in Structural Engineering

Jacques PeriauxJacques PeriauxDavid Greiner

subject

Computer Science::Computer Science and Game TheoryMathematical optimizationbusiness.industryBar (music)Structural systemGenetic algorithmStructural engineeringInverse problembusinessAlgorithmFinite element methodMathematicsNash games

description

A parallel implementation of a game-theory based Nash Genetic Algorithm (Nash-GAs) is presented in this paper for solving reconstruction inverse problems in structural engineering. We compare it with the standard panmictic genetic algorithm in a HPC environment with up to eight processors. The procedure performance is evaluated on a fifty-five bar sized test case of discrete real cross-section types structural frame. Numerical results obtained on this application show a significant achieved increase of performance using the parallel Nash-GAs approach compared to the standard GAs or Parallel GAs.

yearjournalcountryeditionlanguage
2015-10-08
https://doi.org/10.1007/978-3-319-23564-6_13