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

A new perspective on designing urban low-altitude logistics networks subhead: Balancing cost, safety, and noise through co-evolutionary multi-objective optimization ...

Here we show that significant improvements in the efficiency of evolutionary search can be achieved by running multiple optimization algorithms simultaneously using new concepts of global information ...

Riddhi Singh ¹², Patrick M. Reed ³, Klaus Keller ²⁴⁵, Many-objective robust decision making for managing an ecosystem with a deeply uncertain threshold response, Ecology and Society, Vol. 20, No. 3 ...