Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation

@article{Kim2006AdaptiveWS,
  title={Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation},
  author={I. Kim and O. Weck},
  journal={Structural and Multidisciplinary Optimization},
  year={2006},
  volume={31},
  pages={105-116}
}
  • I. Kim, O. Weck
  • Published 2006
  • Mathematics
  • Structural and Multidisciplinary Optimization
  • AbstractThis paper presents an adaptive weighted sum (AWS) method for multiobjective optimization problems. The method extends the previously developed biobjective AWS method to problems with more than two objective functions. In the first phase, the usual weighted sum method is performed to approximate the Pareto surface quickly, and a mesh of Pareto front patches is identified. Each Pareto front patch is then refined by imposing additional equality constraints that connect the pseudonadir… CONTINUE READING
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