Multiobjective Particle Swarm Optimization of a Planing Craft with Uncertainty

Knight, Joshua T.; Zahradka, Frank T.; Collette, Matthew

doi:10.5957/jspd.30.4.130051

Cited by 4 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, automatic selection of a few Pareto optimal solutions was 2 Mathematical Problems in Engineering developed so that the designer can easily choose the more favorable candidates. More recently, Knight et al [9] applied particle swarm optimization to incorporate uncertainty in parameters into the optimization of a planning craft.…”

Section: Introductionmentioning

confidence: 99%

Development of an Efficient Hull Form Design Exploration Framework

Jeong

Kim

2013

Mathematical Problems in Engineering

View full text Add to dashboard Cite

A high-efficiency design exploration framework for hull form has been developed. The framework consists of multiobjective shape optimization and design knowledge extraction. In multiobjective shape optimization, a multiobjective genetic algorithm (MOGA) using the response surface methodology is introduced to achieve efficient design space exploration. As a response surface methodology, the Kriging model, which was developed in the field of spatial statistics and geostatistics, is applied. A new surface modification method using shifting method and radial basis function interpolation is also adopted here to represent various hull forms. This method enables both global and local modifications of hull form with fewer design variables. In design knowledge extraction, two data mining techniques—functional analysis of variance (ANOVA) and self-organizing map (SOM)—are applied to acquire useful design knowledge about a hull form. The present framework has been applied to hull form optimization exploring the minimum wave drag configuration under a wide range of speeds. The results show that the present method markedly reduced the design period. From the results of data mining, it is possible to identify the design variables controlling wave drag performances at different speed regions and their corresponding geometric features.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of an Efficient Hull Form Design Exploration Framework

Jeong

Kim

2013

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Loni et al developed a computer program for mathematical investigation of stepped planing hull characteristics [13]. Multiobjective particle swarm optimization of a planing craft with uncertainty was presented by Knight et al [14].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Drag Force of Planing Boat with Trim Control System Using Genetic Algorithm

Sakaki¹,

Ghassemi²,

Aslansefat³

et al. 2017

AJME

View full text Add to dashboard Cite

The control surface is an effective apparatus for improving the performance of planing boats and is considered an important element in the design of planing boats. Trim-tabs are placed at the transom to give better trim angle in order to diminish the resistance. In this paper, algorithm genetic (GA) is applied to find the trim, resistance and dearrise angle using Savitsky's formulas. The input data are all boat dimensions, including trim-tab data. The output results are trim angle, longitudinal center of gravity (lcg) and deadrise angle (β) and minimum resistance.

show abstract