Annals of Operations Research

, Volume 272, Issue 1–2, pp 119–137 | Cite as

Improving the performance of evolutionary algorithms: a new approach utilizing information from the evolutionary process and its application to the fuzzy portfolio optimization problem

  • K. LiagkourasEmail author
  • K. Metaxiotis
S.I.: Advances in Theoretical and Applied Combinatorial Optimization


This paper examines the incorporation of useful information extracted from the evolutionary process, in order to improve algorithm performance. In order to achieve this objective, we introduce an efficient method of extracting and utilizing valuable information from the evolutionary process. Finally, this information is utilized for optimizing the search process. The proposed algorithm is compared with the NSGAII for solving some real-world instances of the fuzzy portfolio optimization problem. The proposed algorithm outperforms the NSGAII for all examined test instances.


Information Fuzzy systems Portfolio optimization Evolutionary algorithms 


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Authors and Affiliations

  1. 1.Decision Support Systems Laboratory, Department of InformaticsUniversity of PiraeusPiraeusGreece

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