Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

There is currently relatively little objective evidence that the much-promoted 'learner-centered' approach to teaching is effective, according to new research. There is currently relatively little ...

Dynamic multi-objective optimisation techniques address problems in which several conflicting objectives evolve over time. These methods are critical for applications ranging from smart systems and ...