... intelligent optimization algorithms represented by genetic algorithm, simulated annealing algorithm, ant colony algorithm and particle swarm optimization algorithm into the field of structural optimization. (He Xiaoer et al. 2013) introduced PSO into the optimization of complex ship structure, realized...

... efficiency optimization algorithm climate change dap algorithm bulk carrier requirement genetic algorithm real ship eedi membrane structure attained eedi constraint dwt bulk carrier formula ABSTRACT Greening and decarbonization has become an inevitable trend in the development...

... (2021) analyze the influence of multiple design parameters on mooring system tension characteristics and floating platform movement. Sun et al. (2015) optimized the length of deep-sea multi-component mooring system based on neural network and genetic algorithm to minimize the motion response of FPSO...

... Abstract An improved genetic algorithm for global path planning of underwater vehicle is presented. After initializing the feasible initial population; the fitness takes the path safety; smoothness and path length into account. The pareto principle is applied to carry out strict natural...

... of work in this area: Zhou G (1999) selected 9 discrete variables and used genetic algorithms to optimize the design of the midship transversal cross section structure of the ship. Lee K (1999) used the genetic algorithm to optimize the design of the midship transversal cross section structure of the ship...

... production and costs of the subsea arrangement. The optimal position will be calculated through the usage of multiphase flow simulations and a genetic algorithm. The results will show that the relation between the flowline and trunk line diameter is critical for maximizing efficiency, and that the manifold's...

...ABSTRACT ABSTRACT Research the influence of curved blades of tidal turbine on gaining power and loss of hydrokinetic energy. An improved genetic algorithm relies on the mutation factor under adaptive active control to avoid the local best solution, and the adaptation function introduces a probe...

... relationship between the wind turbine positions and the power output of wind farm. To quickly obtain optimal wind farm layout, the genetic algorithm is adopted to achieve the optimization calculation based on the established surrogate model. By combing the wake model and the optimization model, the layout...

... optimized by genetic algorithm. The scour depth was predicted by this model using nondimensional data sets that were collected from the existing research. The results of the prediction model were compared with empirical equations and BP neural network, which showed that GA-BP neural network predicted...

..., the control of traffic volume is the ultimate goal. The netural network has a wide range of applications in this regard. The problem with RBF (Radial Basis Function) is the difficulties in determining parameters, such as the weights. The genetic algorithm has the advantages of fast global searching. Therefore...

... is mathematically formulated and solved by using the genetic algorithm. To check the applicability of the proposed method, we simulated thermal insulation panel installation and compared with an existing program. The results show that the proposed method can be effectively used for installation of the thermal...

... are optimized by genetic algorithm which regards annual power generation as the cost function and takes two practical constraints into account. Based on one year's data records of an island off the coast of China, the effect of different parameters on the annual power generation is analyzed. The simulation...

... dataset contribution rate artificial neural network genetic algorithm formula neural network power model artificial intelligence consumption speed optimization model consumption rate machine learning characteristic bp neural network coefficient energy conservation fuel...

... constraint ice thickness artificial intelligence ice condition power consumption optimization problem ice-covered area algorithm ocean engineering ship polaris marine transportation ship route planning seoul national university optimal route engineering genetic algorithm arctic...

... in historical accident data. However, the prediction result of the SVR model is largely dependent on the selection of parameters of the model. The genetic algorithm has the characteristics of group search method and heuristic random search method, and is not easy to achieve Local convergence. Its inherent...

... to discuss and compare with the resistance performance of monohull and multi-hull. The primary predicted values and parametric conditions for a minimum drag should be acquired by Taguchi's method first. Then, we applied a neural network to construct the nonlinear metamodel and genetic algorithm to search...

... ABSTRACT The objective of the present work is to analyze the selection of distinct gathering systems in subsea layout design, by comparing manifold and trunk line strategies and their impact over flowline costs and production rates in typical wellhead arrangements. A genetic algorithm...

... ABSTRACT Application of genetic algorithms to structural optimization of piled jacket structures is presented. The algorithm optimizes both geometry and member size in separate runs. The approach relies on well known third-party software for structural analysis and hard constraint enforcement...

... to optimize parks of point-absorbing wave energy converters. The optimization is performed with a genetic algorithm, and the aim is to find optimal configurations with minimal levelized cost of electricity for the full system. The economical model includes capital and operational costs both for the individual...

... the perspective of navigation practice. genetic algorithm evolutionary algorithm path planning angle difference threshold ship path planning obstacle artificial intelligence pso algorithm vector optimization result algorithm nautical practice optimization study particle optimization problem...