Specifically in a black box discrete structural optimization problem, what type of local search optimizers are available? In the global/local search a have tried with:
Genetic algorithm
Dear Nayar,
I suggest you to see links and attached files on topic.
ttps://link.springer.com/article/10.1007/s40091-018-0205-1
https://arxiv.org/ftp/arxiv/papers/1307/1307.5838.pdf
https://towardsdatascience.com/continuous-genetic-algorithm-from-scratch-with-python-ff29deedd099
Best regards
Dear Nayar:
I suggest you to keep working with genetic algorithms and forgot about those "new" methods with fancy names.
As you are working in structural design, a single run of a GA effectively gives you a SET of candidate designs that you can further analyze from other points of view not considered in the objective function (like the aspect or technical suitability of the structure).
Play with the GA parameters and test other mutation/crossover operation before changing the method.
Good luck and send me a private message if you need any further information
David
Thank you both but what I am looking for is something more like this reference:
Evolutionary Black-box Topology Optimization: Challenges and Promises
D Guirguis, N Aulig, R Picelli, B Zhu, Y Zhou, W Vicente… - IEEE Transactions on …, 2019Black-box topology optimization (BBTO) uses evolutionary algorithms and other soft computing techniques to generate near-optimal topologies of mechanical structures.
But applied to truss structures.
Dear Nayar,
Here is a complement of references that you interest.
https://www.springer.com/gp/book/9783319115405
https://dl.acm.org/citation.cfm?id=3011623
https://dl.acm.org/citation.cfm?id=3321996
Article Fitness Estimation Based Particle Swarm Optimization Algorit...
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