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Advisor(s)
Abstract(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.
Description
Keywords
Optimization Evolutionary algorithms Filament winding process
Pedagogical Context
Citation
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.
Publisher
Praise Worthy Prize
Collections
CC License
Without CC licence