Prudent constraint-handling technique for multiobjective propeller optimisation

R. Puisa, H. Streckwall

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The paper presents an alternative constraint-handling technique that converts a nonlinear constrained programming problem into an unconstrained multiobjective optimisation problem. The technique is derived from the behavioural memory constraint-handling method, which was originally implemented for singleobjective optimisation with genetic algorithms. We compare our presented technique with two other popular constraint-handling concepts and demonstrate its superiority over them when applied to a propeller optimisation problem. We conclude that the multi-objective behavioural memory constraint-handling technique conjugated with the non-dominated sorting genetic algorithm (NSGA-II) is a prudent method to apply to problems with an infeasible initial design and where constraints have a natural order of satisfaction, which, if not conformed to, would lead to unrealistic designs that
impair the search by GA.
Original languageEnglish
Pages (from-to)657-680
Number of pages24
JournalOptimization and Engineering
Issue number4
Publication statusPublished - 2011


  • design
  • marine propeller
  • constraint handling
  • genetic algorithm
  • panel code
  • potential code
  • evolutionary algorithms
  • CFD
  • multiobjective optimization
  • constraint-handling technique
  • multiobjective propeller optimisation


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