Prazo para submissão: Prazo não claramente definido
Data de Notificação: 04/04/2025
Editora: Springer
Revista: Complex & Intelligent Systems
Link: https://link.springer.com/journal/40747/updates/18069470
Detalhes:
Most real-world optimization problems involve multiple (conflicting) objectives to be achieved simultaneously, which are known as the multiobjective optimization problems (MOPs). To solve MOPs, the area of evolutionary multiobjective optimization (EMO) has witnessed rapid development since the late 90s. However, the complexity of real-world problems has substantially increased over the last two decades. Many emerging problems involve dealing with many (usually conflicting) objectives, a huge num...