Primjena genetičkog algoritma u početnim etapama nacrta broda

Abstract

The main tasks for which the genetic algorithm is currently applied in shipbuilding are shown. The possibility of applying the genetic algorithm for determining the optimal characteristics of ships at the initial stages of design is considered. The formulation of the problem of parametric optimization for the initial stages of design is given. The features of such a problem and possible approaches to its solution are considered. Using the example of the problem of parametric optimization of small waterplane area twin hull ships, it is shown that the traditional methods of non-linear programming are not very effective. It is shown that one of the possible options for increasing the efficiency of searching for the optimal solution is the application of genetic algorithms. The mathematical bases of GA are considered and the scheme for finding the optimal solution using this method is described. The examples of test functions show the effectiveness of the genetic algorithm in comparison with traditional optimization methods. The results of solving the problem of parametric optimization of high-speed SWATH passenger ships are presented. Sažetak Prikazane su glavne zadaće genetičkih algoritama i njihove primjene u brodogradnji. Razmatra se mogućnost primjene genetičkog algoritma za određivanje optimalnih karakteristika brodova u prvim etapama nacrta broda. Daje se formulacija problema parametrijske optimizacije za početne etape nacrta broda. Promatraju se značajke takvoga problema i mogući pristupi rješenju. Koristeći primjerak problema parametrijske optimizacije maloga broda SWATH, prikazuje se da su tradicionalne metode nelinearnoga programiranja nedjelotvorne. Navodi se da je jedna od mogućih opcija za povećanje djelotvornosti traženja optimalnih rješenja primjena genetičkih algoritama. Promatra se matematička osnova GA i opisuje se shema za pronalaženje optimalnoga rješenja korištenjem ove metode. Primjerci funkcija testa pokazuju djelotvornost genetičkog algoritma u usporedbi s tradicionalnim metodama optimizacije. Predočavaju se rezultati rješavanja problema parametrijske optimizacije SWATH putničkoga broda velikih brzina. KEY WORDS optimization genetic algorithm test function nonlinear programming SWATH KLJUČNE RIJEČI optimizacija genetički algoritmi funkcija testa nelinearno programiranje SWATH

Numerical Research on the Influence of Interceptor Flaps on the Planing Hydrodynamic Performance

“…The development of science followed by computational technology has an impact on increasing research based on numerical simulations. The application of genetic algorithm used in ship design is the primary step [14]. The most commonly used CFD methods for planing hull are Finite Element Method (FEM), Finite Volume Method (FVM), and Boundary Element Method (BEM).…”