GA
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An R package for optimization using genetic algorithms
Often the fixed cost of calling the fitness function is high while the variable cost is low, especially in ML applications. e.g. calling predict on xgboost for 100 rows takes...
Often the fixed cost of calling the fitness function is high while the variable cost is low, especially in ML applications. e.g. calling predict on xgboost for 100 rows takes...
Suppose I have 20 cities and the Longitude/Latitude for each of these cities : ``` final_data = data.frame( long = rnorm(20, -74, 1 ), lat = rnorm(20, 40, 1 ))...
When using parallelization, the algorithm stops and shows a weird error: Error in { : task 3 failed - "no lines available in input"
I am trying to optimize a function that can accept "numerical" and "factor" inputs. For the optimization, I am using the "GA" library. Here are the references I am using:...
Hello, I am trying to use 8 islands with the gaisl. It is not clear if we need to replicate the initial soln row according to the number of islands...
Hello, I'm wondering if there is a way to record the population (and their associated fitness) from each generation? As far as I can tell, one can only access the...
Greetings, I appreciate the work you have contributed to this package. The execution time of my fitness function varies greatly depending on the input values, and for parallel execution I...
Hello! i have calculating investing portfolio with GA. And have one problem - GA has give weights with too high accuracy. For example: `> ga_results$optimised_porfolio sol_weights [1,] "TQOB@SU26210RMFS3" "0.625122874975204" [2,]...
Having the ability to provide a list of suggested solutions that can be a list of size 1 (use the same suggested solutions for all islands) or a list of...