IOH_random_search {IOHexperimenter}

IOHexperimenter-based wrapper

Description

For easier use with the IOHexperimenter

Random walk in {0, 1}^d space; Maximization

Random walk in continuous space;

Usage

IOH_random_search(IOHproblem, budget = NULL)

random_search_PB(dim, obj_func, target_hit = function() {     FALSE },
  budget = NULL)

random_search(dim, obj_func, target_hit = function() {     FALSE },
  budget = NULL, lbound = -1, ubound = 1, maximize = T)

Arguments

IOHproblem

An IOHproblem object

budget

Integer, maximal allowable number of function evaluations

dim

Dimension of search space

obj_func

The evaluation function

target_hit

Optional, function which enables early stopping if a target value is reached

lbound

Lower bound of search space. Either single number or vector of size 'dim'

ubound

Upper bound of search space. Either single number or vector of size 'dim'

maximize

Whether to perform maximization or minimization. The function assumes minimization, achieved by inverting the obj_func when 'maximize' is FALSE

Examples

benchmark_algorithm(IOH_random_search, data.dir = NULL)