Placeholder text

Go to cart

Research on Ship Resistance Optimization based on Surrogate Model

By Shuxia Ye

Research on Ship Resistance Optimization based on Surrogate Model

By Shuxia Ye

0 - Default Title
Description
Part I primarily investigates ship resistance optimization. Addressing the current limitation of using only one agent model combined with evolutionary algorithms for optimization, it takes the DTMB5415 ship as the research subject. Based on CFD numerical simulation calculations to construct the dataset, it employs nine optimization framework methods composed of three agent models and three evolutionary algorithms to study ship resistance numerical prediction and hull form optimization. Part II develops an error-classification-based surrogate model and employs the improved whale algorithm NLWOA to investigate hull resistance under varying bulbous bow parameters. It addresses the high computational time and low efficiency issues inherent in traditional computational fluid dynamics (CFD).
Product details
Binding:
Paperback
Number of Pages:
284
Release Date:
2025-11-27
Publication Date:
2025-11-27
Publisher:
Scholars' Press
Languages:
Original: English
ISBN10:
6209141110
ISBN13:
9786209141119
GPSR Manufacturer Reference:
[email protected]
Weight:
441 g
Height:
150 cm
Width:
220 cm
Thickness:
18 cm
Buy on Amazon
Currently sold out