Size optimization of space trusses using Big Bang–Big Crunch algorithm Export

@article{citeulike:5315370, abstract = {A Hybrid Big Bang–Big Crunch (HBB–BC) optimization algorithm is employed for optimal design of truss structures. HBB–BC is compared to Big Bang–Big Crunch (BB–BC) method and other optimization methods including Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization and Harmony Search. Numerical results demonstrate the efficiency and robustness of the HBB–BC method compared to other heuristic algorithms.}, author = {Kaveh, A. and Talatahari, S.}, citeulike-article-id = {5315370}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.compstruc.2009.04.011}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0045794909001394}, day = {19}, doi = {10.1016/j.compstruc.2009.04.011}, issn = {00457949}, journal = {Computers \& Structures}, keywords = {rp}, month = {September}, number = {17-18}, pages = {1129--1140}, posted-at = {2009-09-08 04:29:23}, priority = {2}, title = {Size optimization of space trusses using Big Bang–Big Crunch algorithm}, url = {http://dx.doi.org/10.1016/j.compstruc.2009.04.011}, volume = {87}, year = {2009} }

TY - JOUR ID - citeulike:5315370 L3 - citeulike-article-id:5315370 N2 - A Hybrid Big Bang–Big Crunch (HBB–BC) optimization algorithm is employed for optimal design of truss structures. HBB–BC is compared to Big Bang–Big Crunch (BB–BC) method and other optimization methods including Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization and Harmony Search. Numerical results demonstrate the efficiency and robustness of the HBB–BC method compared to other heuristic algorithms. IS - 17-18 JF - Computers & Structures SN - 00457949 EP - 1140 TI - Size optimization of space trusses using Big Bang–Big Crunch algorithm VL - 87 SP - 1129 KW - rp AU - Kaveh, A AU - Talatahari, S PY - 2009/09/19/ UR - http://dx.doi.org/10.1016/j.compstruc.2009.04.011 ER -