Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization

  • Siwei Jiang
  • Jie Zhang
  • Yew Soon Ong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7106)


A core challenge of Multiobjective Evolutionary Algorithms (MOEAs) is to attain evenly distributed Pareto optimal solutions along the Pareto front. In this paper, we propose a novel asymmetric Pareto-adaptive (apa) scheme for the identification of well distributed Pareto optimal solutions based on the geometrical characteristics of the Pareto front. The apa scheme applies to problem with symmetric and asymmetric Pareto fronts. Evaluation on multiobjective problems with Pareto fronts of different forms confirms that apa improves both convergence and diversity of the classical decomposition-based (MOEA/D) and Pareto dominance-based MOEAs (paε-MyDE).


Multiobjective Optimization Hypervolume Pareto-adaptive 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Siwei Jiang
    • 1
  • Jie Zhang
    • 1
  • Yew Soon Ong
    • 1
  1. 1.School of Computer EngineeringNanyang Technology UniversitySingapore

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