The effectiveness assessment of specialized ships was discussed. Three groups of criteria such as financially-economic, technical and operational were analyzed. As an integrated criterion, "cost-effectiveness" ratio was proposed to be used. Selection of the optimum design characteristics of specialized ships were offered to carried out by solving the optimization problem. The description of the optimization problem formulation and the method of its solution were presented.
This paper reviews the principles of transportation risk assessment in the Baltic Sea ports and hinterland. The essential steps of assessment are the identification of primary criterions, the determining the underlying criterion groups and quantitative assessment of international environment indicators and nature, infrastructure indicators and organizational indicators on the basis of the multiple-criteria evaluation methods. Designed system of criteria creates a possibility for objective evaluation of risk management processes and allows planning objectively long-term risk management strategy in the ports according to certain economic development circumstances.
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
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.