initIndividual: Individual initializer.
In jakobbossek/dynvrp: EMOA for a dynamic Orienteering Problem

Individual initializer.

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initIndividual(instance, current.time = 0, init.tours = integer(),
  n.vehicles = 1L, template.ind = NULL,
  init.distribution = "binomial")

`instance`	[`Network`] Network instance.
`current.time`	[`numeric(1)`] Current point in time. Default is 0.
`init.tours`	[`integer`] List of fixed prefix tours, i.e., part of a vehicles tour which is already fixed, because time passed and vehicle already visited some customers.
`n.vehicles`	[`integer(1)`] Number of vehicles. Defaults to 1.
`template.ind`	[`integer`] Tour used as a “template” for a newly generated individual. Here, we aim to pass as much information from `template.ind` as possible.
`init.distribution`	[`character(1)`] How shall available dynamic customers be sampled? Option “binomial”: each dynamic available customer is active with probability 0.5 independently. Option “uniform”: if there are n_d available dynamic customers, we have P(X = i) = \frac{1}{n_d} for i \in \{1, …, n_d\}. In a second step i positions are sampled at random.

[VRPIndividual] List with following components:

b: Binary vector of length |V| - 2. b[i] is 1, if customer i is active, i.e., in tour.
t: Permutation vector.
p: Vector of mutation probablities. I.e., p[i] is the probability to flip b[i]. p[i] is zero if customer i is already fixed or not yet released.
it: Binary vector of length |V| - 2. it[i] is 1 if and only if customer i is in initial tour.
n.mandatory integer(1): Number of mandatory customers.
idx.dynamic.available integer: IDs/positions of dynamic customers which already requested serving.
n.dynamic.active integer(1): Number of active dynamic customers i (i.e., b[i] = 1)
n.dynamic.inactive integer(1): Number of available, but not active dynamic customers i (i.e., b[i] = 0)
init.tours integer: Fixed tour part, i.e., sequence of nodes already visited.