... this challenge. However, previous studies have shown that the optimal float shape depends on the choice of the optimization algorithm and the objective function. To give further insights into the method's effect on the optimal results and enhance its efficiency, the optimization of an oscillating-body WEC...

... compensation variation characteristic united states government compensation shipwreck accumulator compensation system fluctuation objective function claw gradient compensator Proceedings of the Thirty-third (2023) International Ocean and Polar Engineering Conference Ottawa, Canada, June 19-23...

.... In recent years, domestic and foreign scholars have mainly studied the multimodal transport route optimization problem. The establishment of multimodal transport route selection models is generally optimized from the aspects of the objective function, constraint conditions, and random factors. Ji et al...

... vandiver objective function objective vortex-induced vibration arctic engineering united states government vibration reconstruction available data expansion mode diameter offshore mechanics motion reconstruction riser field experimental stain data physics-based unsupervised learning...

... the problem. HyPoC-PPO can directly guide the learned policy to minimize the steering angle of the path with a new objective function that incorporates policy regularization rather than depends on indirect guidance from a reward function. In addition, HyPoC-PPO can generate a hybrid policy that is composed...

... correlation objective function maximum pairwise correlation ABSTRACT A submarine usually consists of the main hull and appendages such as fairwater and rudders. In order to give full play to the submarine's good resistance and manoeuvrability, the SBD technique is used to optimize the shape of main...

... ABSTRACT A numerical multi-objective optimization procedure is proposed here to improve the stealth performance for underwater vehicle. In this paper, DARPA Suboff is adopted as the preliminary design, and the two objective functions have been chosen as the wake flow feature and acoustic...

... model objective function regression model machine learning algorithm resistance calculation basis function ABSTRACT This paper introduces a method of using Bayesian Optimization to build an approximate model called Multilayer Perceptron(MLP) in the process of automatic ship hull form...

... by the minimum stress. A multi-objective optimization process with the minimum mass and the minimum mid-ship profile stress as the objective function is established through Isight. The NSGA-II algorithm is adopted and the Rules for Construction and Classification of Yachts (hereinafter referred to as the rules...

... hold that satisfies the specification. data security objective function artificial intelligence longitudinal optimization problem platform freight & logistics services marine transportation thickness unit length teu river-sea-going ship design variable transversal cross section...

.... Owing to the combining of NSGA-II algorithm and the self-developed MATLAB code, the accurate dynamic characteristics of vessel and mooring system can be selected as the objective functions and the proposed methodology is able to design the optimal mooring system deployment by considering the varying...

... ideas for vector control algorithm of waterjet propelled crafts. single waterjet allocation vector control algorithm longitudinal thrust thrust model nozzle angle control system thrust reverse duct angle waterjet propulsion optimization problem propulsion algorithm objective function...

... could be connected using a manifold or a trunk line, respectively. decision variable manifold connection point scenario fluid property genetic algorithm gathering system configuration case upstream oil & gas evolutionary algorithm objective function total flowline length...

... flow will be calculated using a multiphase flow computer simulation running different scenarios with varying production parameters. evolution objective function flowline reservoir surveillance oil production manifold production condition pressure gradient manifold position subsea...

... points in order to find the relationship, which is often with strong nonlinearity, between the design variables (input) and the objective functions (output). The surrogate model expresses the relationship between the design variables and the objective functions using a stochastic Gaussian process...

... in the typical head wave condition are used as objective functions. The whole optimization process is implemented based on in-house solver OPTShip-SJTU. It turns out that OPTShip-SJTU has a very practical application in the aspect of multi-objective optimization of ship seakeeping performance based on CFD...

.... Initially, about the optimization of seakeeping performance, it was just considered as the constraint on the whole optimization process (Harries, 2001). D. Peri and E. F. Campana (2003, 2005) took the resistance and heave and pitch motions as the objective functions, and evaluated the resistance by RANS...

... elevation incident wave objective function gap distance Optimization of Separation Distance between Two Floating Bodies Shashikala A.P, Shankar K Varma Department of Civil Engineering, National Institute of Technology Calicut Kozhikode, Kerala, India ABSTRACT: OPTIMIZATION OF SEPARATION DISTANCE...

... ship artificial fish swarm algorithm collision avoidance path concentration convergence point bridge area artificial fish objective function algorithm artificial intelligence collision avoidance planning & scheduling path planning af algorithm obstacle ship collision avoidance...

... computational effort, a Gaussian process regression model is constructed to approximate the objective functions to be evaluated by the optimization algorithm. The results show that optimal hull form's pressure resistance is reduced by 5.3%, 9.5% and 5.9% for F 0.154, 0.207 and 0.234, respectively...