Abstract
impair the search by GA.
| Language | English |
|---|---|
| Pages | 657-680 |
| Number of pages | 24 |
| Journal | Optimization and Engineering |
| Volume | 12 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2011 |
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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
Cite this
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Prudent constraint-handling technique for multiobjective propeller optimisation. / Puisa, R.; Streckwall, H.
In: Optimization and Engineering, Vol. 12, No. 4, 2011, p. 657-680.Research output: Contribution to journal › Article
TY - JOUR
T1 - Prudent constraint-handling technique for multiobjective propeller optimisation
AU - Puisa, R.
AU - Streckwall, H.
PY - 2011
Y1 - 2011
N2 - 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 thatimpair the search by GA.
AB - 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 thatimpair the search by GA.
KW - design
KW - marine propeller
KW - constraint handling
KW - NSGA-II
KW - genetic algorithm
KW - panel code
KW - potential code
KW - evolutionary algorithms
KW - CFD
KW - multiobjective optimization
KW - constraint-handling technique
KW - multiobjective propeller optimisation
UR - http://www.scopus.com/inward/record.url?scp=80054003553&partnerID=8YFLogxK
U2 - 10.1007/s11081-010-9133-z
DO - 10.1007/s11081-010-9133-z
M3 - Article
VL - 12
SP - 657
EP - 680
JO - Optimization and Engineering
T2 - Optimization and Engineering
JF - Optimization and Engineering
SN - 1389-4420
IS - 4
ER -