optimizer_hybrid: Hybrid Optimizer

In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems

Hybrid Optimizer

Description

Creates a hybrid optimizer object by combining a global optimizer and a local optimizer.

Usage

optimizer_hybrid(
  global = optimizer_pso(),
  local = optimizer_adam(),
  strategy = "sequential"
)

Arguments

global	A metaheuristic optimizer object.
local	A gradient-based optimizer object.
strategy	Hybrid training strategy. Currently "sequential" is used as the default strategy.

Value

An object of class "met_optimizer".

Examples

optimizer_hybrid(
  global = optimizer_pso(max_iter = 10),
  local = optimizer_adam(epochs = 10)
)

metANN documentation built on May 16, 2026, 1:06 a.m.