Browsing Journal Articles by Author "Malo, Pekka"

Now showing items 1-5 of 5

    • Bilevel optimization based on iterative approximation of multiple mappings 

      Sinha, Ankur; Lu, Zhichao; Deb, Kalyanmoy; Malo, Pekka (Journal of Heuristics, 2020)
      A large number of application problems involve two levels of optimization, where one optimization task is nested inside the other. These problems are known as bilevel optimization problems and have been studied by both ...

    • Convex preference cone-based approach for many objective optimization problems 

      Sinha, Ankur; Malo, Pekka; Kallio, Markku (Elsevier, 2018-03)
      Many objective optimization problems have turned out to be a considerable challenge for evolutionary algorithms due to the difficulty of finding and visualizing high-dimensional Pareto frontiers. Fortunately, however, the ...

    • Optimal management of naturally regenerating uneven-aged forests 

      Sinha, Ankur; Rämö, Janne; Malo, Pekka; Kallio, Markku; Tahvonen, Olli (Elsevier B.V., 2017)
      A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning ...

    • A review on bilevel optimization: from classical to evolutionary approaches and applications 

      Sinha, Ankur; Malo, Pekka; Deb, Kalyanmoy (IEEE, 2018)
      Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as a constraint. These problems have received significant attention from the mathematical ...

    • SEntFiN 1.0: entity-aware sentiment analysis for financial news 

      Sinha, Ankur; Kedas, Satishwar; Kumar, Rishu; Malo, Pekka (Wiley-Blackwell, 2022-03-08)
      Fine-grained financial sentiment analysis on news headlines is a challenging task requiring human-annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a ...