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 ...

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