Optimization of analytic density functionals by parallel genetic algorithm Export

@article{citeulike:4214325, abstract = {We report the construction and implementation of a parallel genetic algorithm (PGA) for use in optimization of analytic density-functional theory. Our new algorithm demonstrates comparable performance to our previous simplex optimizer when benchmarked against the extended G2 set, and the considerable scatter between different optimizations shows that robust methods are required. This new PGA will allow us to further expand our parameter space while efficiently utilizing cluster and supercomputing resources as the problems grow larger.}, author = {Thompson, Matthew A. and Dunlap, Brett I.}, citeulike-article-id = {4214325}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.cplett.2008.08.075}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0009261408011688}, day = {22}, doi = {10.1016/j.cplett.2008.08.075}, issn = {00092614}, journal = {Chemical Physics Letters}, keywords = {byme, dft}, month = {September}, number = {1-3}, pages = {278--282}, posted-at = {2009-03-24 13:18:15}, priority = {0}, title = {Optimization of analytic density functionals by parallel genetic algorithm}, url = {http://dx.doi.org/10.1016/j.cplett.2008.08.075}, volume = {463}, year = {2008} }

TY - JOUR ID - citeulike:4214325 L3 - citeulike-article-id:4214325 N2 - We report the construction and implementation of a parallel genetic algorithm (PGA) for use in optimization of analytic density-functional theory. Our new algorithm demonstrates comparable performance to our previous simplex optimizer when benchmarked against the extended G2 set, and the considerable scatter between different optimizations shows that robust methods are required. This new PGA will allow us to further expand our parameter space while efficiently utilizing cluster and supercomputing resources as the problems grow larger. IS - 1-3 JF - Chemical Physics Letters SN - 00092614 EP - 282 TI - Optimization of analytic density functionals by parallel genetic algorithm VL - 463 SP - 278 KW - byme KW - dft AU - Thompson, Matthew AU - Dunlap, Brett PY - 2008/09/22/ UR - http://dx.doi.org/10.1016/j.cplett.2008.08.075 ER -