Optimization, Operations Research, Python, Programming, Data Science.
machines = np.arange(n_machines, dtype=int) jobs = np.arange(n_jobs, dtype=int) p_times = self._random_times(machines, jobs, t_span) seq = self._random_sequences(machines, jobs) super().__init__(machines, jobs, p_times, seq) def _random_times(self, machines, jobs, t_span): np.random.seed(self.seed)