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