20130319: Optimization
In optimization problem, large intervals of many variables cost intensive computational effort. GA has been proven [by whom?] to be a very … technique in … the objective function because of …, …, …. Vibration meets GA when …. The results to be presented in this paper is … as compared to …, … and …. Therefore, …. Benefit of Genetic Algorithm - Speed? - Accuracy? - Computational cost? - Etc.
How do we compare different optimization algorithms? -> Criteria above What are they?-> evolutionary algorithm - GA - Swarm - SPF, Djikstra - …
Design variables [by whom?] - number of elements: 10 - 1000 - reduction index: 0:100% - configuration: beam, plate, truss, structure - convergence criteria - …
Why choose Evolutionary Algorithm over common numerical method (in optimization textbooks)?