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The GA iterator is coupled with a finite-element (FE) analysis code developed in house to facilitate computational steering in order to calculate the optimal impact velocities of a projectile colliding with a polyurea\/structural steel composite plate. The FE code is capable of capturing adiabatic shear bands and strain localization, which are typically observed in high-velocity impact applications, and it includes several constitutive models of plasticity, viscoelasticity and viscoplasticity for metals and soft materials, which allow simulation of ductile fracture by void growth. A strong scaling study of the FE code was conducted to determine the optimum number of processes run in parallel. The relative efficiency of the hybrid, multi-level parallelization method is studied in order to determine the parameters for the parallelization. Optimal impact velocities of the projectile calculated using the proposed approach, are reported.<\/jats:p>","DOI":"10.1177\/1094342012451474","type":"journal-article","created":{"date-parts":[[2012,7,18]],"date-time":"2012-07-18T18:20:11Z","timestamp":1342635611000},"page":"217-227","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["A hybrid, massively parallel implementation of a genetic algorithm for optimization of the impact performance of a metal\/polymer composite plate"],"prefix":"10.1177","volume":"27","author":[{"given":"Kiran","family":"Narayanan","sequence":"first","affiliation":[{"name":"King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angel","family":"Mora","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas","family":"Allsopp","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia"},{"name":"Cray Computing, Stuttgart, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tamer El","family":"Sayed","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2012,7,17]]},"reference":[{"key":"bibr1-1094342012451474","unstructured":"Adams B, Bohnhoff W, Dalbey K, (2009) DAKOTA, A multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: Version 5.0 user\u2019s manual. 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