Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms

Serani, Andrea; Fasano, Giovanni; Liuzzi, Giampaolo; Lucidi, Stefano; Iemma, Umberto; Campana, Emilio F.; Stern, Frederick; Diez, Matteo

doi:10.1016/j.apor.2016.04.006

Cited by 66 publications

(37 citation statements)

References 29 publications

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“…Many mathematical programming methods are also employed to solve the optimisation problem, such as Sequence Quadratic Program (SQP) method (Gill et al, 2002;Yu and Lee, 2016) and Non-Linear Programming (NLP) method (Zhang, 2009;Zhang and Zhang, 2015). Serani et al (2016) pointed out that if the research region is known a priori, local optimisation algorithms can also obtain an accurate solution of the local minimum. For instance, Attaviriyanupap et al (2002) used the Evolutionary Program (EP) method to obtain an optimal global region, and utilized a SQP method to determine the optimal global solution.…”

Section: Fig 1 Sbd Based Ship Hull Form Optimisation Frameworkmentioning

confidence: 99%

An investigation into fishing boat optimisation using a hybrid algorithm

et al. 2018

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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.

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Section: Fig 1 Sbd Based Ship Hull Form Optimisation Frameworkmentioning

confidence: 99%

An investigation into fishing boat optimisation using a hybrid algorithm

et al. 2018

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“…Since in the SBDO context objectives may be noisy and/or their derivatives are often not provided by the simulation tool, derivative-free optimization algorithms [8] are often a viable option. Examples of local and global derivative-free SBDO approaches to the design problem have been investigated in the ship hydrodynamic community [9], with focus on both civil and military applications and development of dual-use technologies. In the last years, several EAs have been proposed to solve design problems, such as dragonfly [10], salp swarm [11], polar bear [12], and dolphin pod optimization [13].…”

Section: Introductionmentioning

confidence: 99%

Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

et al. 2020

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The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems. The objective is to show how the hybridization of two multi-objective derivative-free global and local algorithms achieves better performance than the separate use of the two algorithms in solving specific SBDO problems for hull-form design. The proposed method belongs to the class of memetic algorithms, where the global exploration capability of multi-objective deterministic particle swarm optimization is enriched by exploiting the local search accuracy of a derivative-free multi-objective line-search method. To the authors best knowledge, studies are still limited on memetic, multi-objective, deterministic, derivative-free, and evolutionary algorithms for an effective and efficient solution of SBDO for hull-form design. The proposed formulation manages global and local searches based on the hypervolume metric. The hybridization scheme uses two parameters to control the local search activation and the number of function calls used by the local algorithm. The most promising values of these parameters were identified using forty analytical tests representative of the SBDO problem of interest. The resulting hybrid algorithm was finally applied to two SBDO problems for hull-form design. For both analytical tests and SBDO problems, the hybrid method achieves better performance than its global and local counterparts.

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“…Mahmood and Huang (2012) developed an optimization loop of a Series 60 hull with the integration of an additive bulb to the parent hull for reducing the total resistance, using the FLUENT software as a tool to evaluate the objective function and a genetic algorithm as an optimization tool. The potential flow and the Reynolds averaged Navier-Stokes (RANS) solvers were used to calculate the calm water resistance of the David Taylor Model Basin (DTMB) model 5415 model at Fr = 0.25, and Serani et al (2016) developed an optimization framework using dividing rectangles (DIRECT) and deterministic particle swarm optimization (DPSO) algorithms to find the best ship, respectively.…”

Section: Introductionmentioning

confidence: 99%

Hull form optimisation in waves based on CFD technique

Zhang

Tezdogan

Zhang

et al. 2017

Ships and Offshore Structures

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The seakeeping behavior of a ship in waves is different from its behavior in calm water. The resistance and seakeeping performance of a ship are of great importance and must be considered in the early-stage design of a ship's hull form design. Therefore, this paper proposes a hull form optimization framework aiming to achieve the minimum total resistance in waves using a CFD technique. A sinusoidal wave is adopted to establish the numerical wave tank and the overset mesh technique is used to facilitate the motions of the ships in question. Considering the motions of pitching and heaving, the total resistance of the hull in waves is regarded as the objective function which is calculated using the Reynolds averaged Navier-Stokes (RANS) method. The arbitrary shape deformation (ASD) technique is used to change the geometry. Under displacement and design variables, a hybrid algorithm is developed to evaluate the objective function combining the optimal Latin hypercube design (Opt LHD) and the non-linear programming by quadratic Lagrangian (NLPQL) algorithm. Finally, two examples of hull form optimization are presented and discussed for David Taylor Model Basin (DTMB) model 5512 and WIGLEY III cases. The results show the effectiveness of the optimization framework developed in the present study, which can lay the foundation for further optimization of full-scale ships.

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Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms

Cited by 66 publications

References 29 publications

An investigation into fishing boat optimisation using a hybrid algorithm

An investigation into fishing boat optimisation using a hybrid algorithm

Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

Hull form optimisation in waves based on CFD technique

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