Editing Genetic algorithm (section)

====Other stochastic optimisation methods====

* The [[Cross-entropy method|cross-entropy (CE) method]] generates candidate solutions via a parameterized probability distribution. The parameters are updated via cross-entropy minimization, so as to generate better samples in the next iteration.
* Reactive search optimization (RSO) advocates the integration of sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. The word reactive hints at a ready response to events during the search through an internal online feedback loop for the self-tuning of critical parameters. Methodologies of interest for Reactive Search include machine learning and statistics, in particular [[reinforcement learning]], [[Active learning (machine learning)|active or query learning]], [[Artificial neural network|neural networks]], and [[metaheuristics]].