Teacher phase x + r (x_teacher - T_F mean), T_F in 1, 2; learner phase with a
random partner k: x + r (x - x_k) if x is better, else x + r (x_k - x); each
proposal is kept when better.
Usage
TeachingLearningOptimizer(f, bounds, n_pop = 20, max_iter = 200, seed = 0)
Arguments
- f
Objective to minimise.
- bounds
List of c(low, high) pairs or a two-column matrix.
- n_pop
Population size.
- max_iter
Iterations.
- seed
Philox seed.
Value
list(x, fun, estimate, history, n_fev, method).
References
Rao, R. V., Savsani, V. J. and Vakharia, D. P. (2011).
Teaching-learning-based optimization: a novel method for constrained
mechanical design optimization problems. Computer-Aided Design 43, 303-315.
Examples
TeachingLearningOptimizer(function(x) sum(x^2), list(c(-5, 5), c(-5, 5)), max_iter = 50)$fun
#> [1] 5.988506e-21
