Prudent constraint-handling technique for multiobjective propeller optimisation

Puisa, R. and Streckwall, H. (2011) Prudent constraint-handling technique for multiobjective propeller optimisation. Optimization and Engineering, 12 (4). pp. 657-680. ISSN 1389-4420 (https://doi.org/10.1007/s11081-010-9133-z)

Abstract

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.

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  Item type:	Article
  ID code:	41757
  Dates:	Date Event 2011 Published
  Keywords:	design, marine propeller, constraint handling, NSGA-II, genetic algorithm, panel code, potential code, evolutionary algorithms, CFD, multiobjective optimization, constraint-handling technique, multiobjective propeller optimisation, Naval architecture. Shipbuilding. Marine engineering, Control and Optimization, Civil and Structural Engineering, Mechanical Engineering, Software, Electrical and Electronic Engineering, Aerospace Engineering
  Subjects:	Naval Science > Naval architecture. Shipbuilding. Marine engineering
  Department:	Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
  Depositing user:	Pure Administrator
  Date deposited:	26 Oct 2012 13:59
  Last modified:	04 Feb 2023 02:42
  Related URLs:	Scopus publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/41757