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Orientador(es)
Resumo(s)
This work presents recent developments on multi objective evolutionary algorithms, so-called set-based evolutionary algorithms. These techniques are shown to approximate a Pareto front of efficient solutions taking into account both quality of the approximation and its diversity, both important in the design of these methods. Set-based evolutionary algorithms outperform their predecessors on a variety of benchmark problems and are suggested as tools to be used for solving complex mechanical engineering problems, such as filament winding process discussed in this work.
Descrição
Palavras-chave
Optimization Evolutionary algorithms Filament winding process
Contexto Educativo
Citação
Yevseyeva, I., de Melo, F. Q., Grácio, J., & Basto-Fernandes, V. (2012). Indicator-Based Multiobjective Evolutionary Algorithms and an Application in Filament Winding Process. International Review of Mechanical Engineering, 6(4), 886-895.
Editora
Praise Worthy Prize
Licença CC
Sem licença CC
