An investigation into fishing boat optimisation using a hybrid algorithm

Abstract

The optimisation of high-speed fishing boats is different from the optimisation of other displacement type vessels as, for high-speed fishing boats, the wave-making resistance decreases while the splashed resistance increases sharply. To reduce fuel consumption and operating costs in the current economic climate, this paper presents a fishing boat optimisation approach using a Computational Fluid Dynamics (CFD) technique. The RANS-VoF solver was utilised to calculate total resistance, sinkage and trim for a fishing boat in calm water. The Arbitrary Shape Deformation (ASD) technique was used to smoothly alter the geometry. A hybrid algorithm was presented to solve the complicated nonlinear optimisation problem. Herein, a Design of Experiments (DoE) method was applied to find an optimal global region and a mathematical programme was employed to determine an optimal global solution. Under the same displacement with the original hull, two optimisation loops were built with different design variables. After completion of the optimisation, two optimal hull forms were obtained. The optimisation results show that the optimisation loop presented in this study can be used to design a suitable fishing boat in the reduction of the total resistance in calm water.

Operability analysis of traditional small fishing boats in Indonesia with different loading conditions

“…In this paper, a traditional small fishing boat from Indonesia was selected as a case study. This fishing boat had been investigated by Tezdogan et al (2018) earlier for optimisation of hull form and by Liu et al (2019) for the design of a bilge keel. A body plan of the fishing boat is shown in Figure 4, and details of the main dimension are given in Table 2.…”

Assessment of Ship Fuel Consumption for Different Hull Roughness in Realistic Weather Conditions

“…Therefore, operation research techniques have been coupled to 3D software to benefit from the accuracy of the machine to predict the optimal solutions. For instance, Tezdogan et al [22] developed a model coupling CFD and a nonlinear optimizer to reduce the ship resistance for a constant displacement and at a defined speed by finding the optimal parameters of a fishing boat. Seok et al [23] used the design of experiments (DoE) and CFD methods to improve the bow shape of a tanker.…”

Application of Improved Particle Swarm Optimisation Algorithm in Hull form Optimisation

“…Pellegrini et al [22] proposed a multi-objective derivative-free and deterministic global/local hybrid algorithm as an efficient and effective solution to SBDO problems. Tezdogan et al [23] proposed a hybrid algorithm to solve the complicated nonlinear optimisation problem of fishing boat. Serani et al [24] presented study of DPSO, with application to simulation-based design in ship hydrodynamics.…”