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
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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.
| Author(s): | Puisa, R. and Streckwall, H. | Item type: | Article |
|---|---|
| ID code: | 41757 |
| 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: | 03 Jan 2019 13:25 |
| Related URLs: | |
| URI: | https://strathprints.strath.ac.uk/id/eprint/41757 |
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