Evolving Continuous Pareto Regions

  • D. Dumitrescu
  • Crina Groşan
  • Mihai Oltean
Part of the Advanced Information and Knowledge Processing book series (AI&KP)


In this chapter we propose a new evolutionary elitist approach combining a non-standard solution representation and an evolutionary optimization technique. The proposed method permits detection of continuous decision regions. In our approach an individual (a solution) is either a closed interval or a point. The individuals in the final population give a realistic representation of the Pareto-optimal set. Each solution in this population corresponds to a decision region of the Pareto-optimal set. The proposed technique is an elitist one. It uses a unique population. The current population contains non-dominated solutions already computed.


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© Springer-Verlag London Limited 2005

Authors and Affiliations

  • D. Dumitrescu
  • Crina Groşan
  • Mihai Oltean

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